subject:(Maximum Likelihood Methods)

York University

1. Tian, Yanhua. Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications.

Degree: PhD, Mathematics & Statistics, 2018, York University

► Shape-constrained methods specify a class of distributions instead of a single parametric family. The approach increases the robustness of the estimation without much loss of… (more)

Subjects/Keywords: Statistics; Maximum likelihood estimation; Shape constrained methods; Probability mass function estimation; Multivariate data; Log-concave

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APA (6^th Edition):

Tian, Y. (2018). Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/35033

Chicago Manual of Style (16^th Edition):

Tian, Yanhua. “Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications.” 2018. Doctoral Dissertation, York University. Accessed January 26, 2021. http://hdl.handle.net/10315/35033.

MLA Handbook (7^th Edition):

Tian, Yanhua. “Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications.” 2018. Web. 26 Jan 2021.

Vancouver:

Tian Y. Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications. [Internet] [Doctoral dissertation]. York University; 2018. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10315/35033.

Council of Science Editors:

Tian Y. Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications. [Doctoral Dissertation]. York University; 2018. Available from: http://hdl.handle.net/10315/35033

2. Ayres, Daniel L. Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference.

Degree: Biology, 2017, University of Maryland

URL: http://hdl.handle.net/1903/19951

► Estimating the evolutionary history of organisms, phylogenetic inference, is a critical step in many analyses involving biological sequence data such as DNA. The likelihood calculations… (more)

▼ Estimating the evolutionary history of organisms, phylogenetic inference, is a critical step in many analyses involving biological sequence data such as DNA. The likelihood calculations at the heart of the most effective methods for statistical phylogenetic analyses are extremely computationally intensive, and hence these analyses become a bottleneck in many studies. Recent progress in computer hardware, specifically the increase in pervasiveness of highly parallel, many-core processors has created opportunities for new approaches to computationally intensive methods, such as those in phylogenetic inference. We have developed an open source library, BEAGLE, which uses parallel computing methods to greatly accelerate statistical phylogenetic inference, for both maximum likelihood and Bayesian approaches. BEAGLE defines a uniform application programming interface and includes a collection of efficient implementations that use NVIDIA CUDA, OpenCL, and C++ threading frameworks for evaluating likelihoods under a wide variety of evolutionary models, on GPUs as well as on multi-core CPUs. BEAGLE employs a number of different parallelization techniques for phylogenetic inference, at different granularity levels and for distinct processor architectures. On CUDA and OpenCL devices, the library enables concurrent computation of site likelihoods, data subsets, and independent subtrees. The general design features of the library also provide a model for software development using parallel computing frameworks that is applicable to other domains. BEAGLE has been integrated with some of the leading programs in the field, such as MrBayes and BEAST, and is used in a diverse range of evolutionary studies, including those of disease causing viruses. The library can provide significant performance gains, with the exact increase in performance depending on the specific properties of the data set, evolutionary model, and hardware. In general, nucleotide analyses are accelerated on the order of 10-fold and codon analyses on the order of 100-fold. Advisors/Committee Members: Cummings, Michael P (advisor).

Subjects/Keywords: Bioinformatics; Computer science; Bayes methods; Biology computing; Evolution (biology); Maximum likelihood estimation; Parallel programming; Phylogeny

5 more images…

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APA (6^th Edition):

Ayres, D. L. (2017). Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19951

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ayres, Daniel L. “Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference.” 2017. Thesis, University of Maryland. Accessed January 26, 2021. http://hdl.handle.net/1903/19951.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ayres, Daniel L. “Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference.” 2017. Web. 26 Jan 2021.

Vancouver:

Ayres DL. Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference. [Internet] [Thesis]. University of Maryland; 2017. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1903/19951.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ayres DL. Research And Application Of Parallel Computing Algorithms For Statistical Phylogenetic Inference. [Thesis]. University of Maryland; 2017. Available from: http://hdl.handle.net/1903/19951

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Utah State University

3. McGahan, Ian. Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data.

Degree: PhD, Mathematics and Statistics, 2020, Utah State University

URL: https://digitalcommons.usu.edu/etd/7865

► The effects of emerging wildlife diseases are global and profound, resulting in loss of human life, economic and agricultural impacts, declines in wildlife populations,… (more)

Subjects/Keywords: Asymptotic Methods; Model Competition; Partial Differential Equations; Maximum Likelihood; Wildlife Disease; Applied Mathematics; Mathematics

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APA (6^th Edition):

McGahan, I. (2020). Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7865

Chicago Manual of Style (16^th Edition):

McGahan, Ian. “Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data.” 2020. Doctoral Dissertation, Utah State University. Accessed January 26, 2021. https://digitalcommons.usu.edu/etd/7865.

MLA Handbook (7^th Edition):

McGahan, Ian. “Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data.” 2020. Web. 26 Jan 2021.

Vancouver:

McGahan I. Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data. [Internet] [Doctoral dissertation]. Utah State University; 2020. [cited 2021 Jan 26]. Available from: https://digitalcommons.usu.edu/etd/7865.

Council of Science Editors:

McGahan I. Methods in Modeling Wildlife Disease from Model Selection to Parameterization With Multi-Scale Data. [Doctoral Dissertation]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7865

University of Georgia

4. Xu, Jing. Semiparametric zero-inflated regression models.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/26198

► Zero-inflated (ZI) regression models have had wide application recently and have proven useful in modeling data with many zeros. Zero-inflated mixed models (ZIMMs) have been… (more)

▼ Zero-inflated (ZI) regression models have had wide application recently and have proven useful in modeling data with many zeros. Zero-inflated mixed models (ZIMMs) have been developed to model zero-inflated data with heterogeneity, correlation, or other features not adequately captured by regular ZI models. Semiparametric regression methods have also been implemented in the context of ZI regression recently and can be applied in modeling both the mixing probability and the data from the non-zero state with a combination of parametric and nonparametric components. Although a variety of classes of ZI models have been researched and studied such as the zero-inflated binomial models (Hall, 2000) and zero-inflated negative binomial models, in this dissertation we focus on ZI Poisson (ZIP) models and their mixed-effect extensions, ZIP-mixed models (ZIPMMs), with particular attention on cases involving high-dimensional random effects. In Chapter 2 of this dissertation, we present one approach of fitting ZIPMMs using maximum likelihood (ML) implemented via the Monte Carlo EM (MCEM) algorithm using spherical radial quadrature (Zippunikov and Booth, 2006). The MCEM algorithm is employed to facilitate the computation, and the spherical radial quadrature is applied to evaluate the integral in the Monte Carlo E step. The MLEs of the parameters are obtained at the convergence of the algorithm. In Chapter 3, we propose another approach to fit ZIPMMs using a modified EM algorithm which involves Laplace's approximation (Steele, 1996) to evaluate the integral in the E step. At the convergence of the algorithm, we obtain approximate MLEs. Small-scale simulation studies of the proposed methods are included in Chapters 2 and 3. In addition, in Chapter 4, a more extensive simulation study is conducted in which the properties of these methods are investigated under a wider variety of scenarios and the methods are compared with each other and with alternative approaches for semiparametric ZIP regression from the literature including adaptive Gaussian quadrature (AGQ), thin plate regression splines (Chiogna and Gaetan, 2007), and sieve maximum likelihood (Lam et al., 2006). Chapter 5 presents a discussion and some potential topics for future research.

Subjects/Keywords: Approximate maximum likelihood estimation; Laplace approximation; Maximum likelihood estimation; Monte Carlo EM algorithm; Spherical radial quadrature; Spline methods; Zero-inflated Poisson mixed models

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APA (6^th Edition):

Xu, J. (2014). Semiparametric zero-inflated regression models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26198

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, Jing. “Semiparametric zero-inflated regression models.” 2014. Thesis, University of Georgia. Accessed January 26, 2021. http://hdl.handle.net/10724/26198.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, Jing. “Semiparametric zero-inflated regression models.” 2014. Web. 26 Jan 2021.

Vancouver:

Xu J. Semiparametric zero-inflated regression models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10724/26198.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu J. Semiparametric zero-inflated regression models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26198

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

5. Frölke, Linde Josien (author). Grey-box models for prediction and control of solar district heat plants.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:e0ebc394-7d3a-4fc2-9f3e-50920c187868

► It has become clear that the global energy system needs to shift away from fossil fuels towards clean, renewable energy sources. Experience in the past… (more)

▼ It has become clear that the global energy system needs to shift away from fossil fuels towards clean, renewable energy sources. Experience in the past decades has shown that at-plate solar heat panels can play a role in the energy system of the future, in particular in solar collector fields for district heat generation. This thesis concerns the dynamical modelling of such solar district heat plants (SDHPs). As the upswing of SDHPs occurred rather recently, research on their optimal control is ongoing. The main challenge for control is to adapt to fluctuations in solar radiation and other inputs in an optimal way, ensuring a high and stable outlet water temperature to the grid while minimizing flow fluctuations. Many modelling efforts of single collectors as well as full solar heat fields have been reported, although mostly in the form of detailed physical models. In this thesis, a new approach for describing the dynamics of a large at-plate solar field is proposed. We develop a continuous-discrete stochastic state space model suitable for prediction and control. This model form combines knowledge from physics and information from data, thereby allowing for relatively simple formulations while modelling complex dynamics. Retaining a physically meaningful model formulation has additional advantages for model development, as analysis of residuals and outputs can provide information on suitable model extensions. A basic model was formulated and systematically extended in a forward selection procedure, using a.o. likelihood ratio tests. The model development was based on May 2017 measurements from an Aalborg CSP solar heat plant in the municipality of Solrød , Denmark. The models are implemented using the R-package CTSM-R, which includes parameter estimation methods based on maximum likelihood estimation and the extended Kalman filter. It is found that the developed model is suitable for very short term (minutes to hours ahead) to short term (day ahead) prediction, as needed for control and heat output forecasting of a SDHP. It includes several new aspects compared to existing models, the most notable being non-parametric modelling of shading effects and a split of total radiation into diffuse and direct components. Including these elements improves model predictions considerably, and allows for asymmetric panel effciency over the day. Detailed analysis of the model's predictive performance is provided, including a comparison to current ISO standard model and the current Solrød control scheme, as well as a cross-validation on data from different seasons. In future work, the model's performance when using input predictions from weather forecasts should be tested. The model should further be used in a model predictive control scheme in order to improve current SDHP control strategies. This would lead to a smoother pump operation, thereby reducing electricity consumption, costs, and greenhouse gas emissions. Advisors/Committee Members: Heemink, Arnold (mentor), Bacher, Peder (mentor), van Gijzen, Martin (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Stochastic modelling; Stochastic Differential Equations; State Space Model; Filtering; Solar Heat Panel; Solar District Heat Plant; Maximum Likelihood Methods; Renewable Energy

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APA (6^th Edition):

Frölke, L. J. (. (2018). Grey-box models for prediction and control of solar district heat plants. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e0ebc394-7d3a-4fc2-9f3e-50920c187868

Chicago Manual of Style (16^th Edition):

Frölke, Linde Josien (author). “Grey-box models for prediction and control of solar district heat plants.” 2018. Masters Thesis, Delft University of Technology. Accessed January 26, 2021. http://resolver.tudelft.nl/uuid:e0ebc394-7d3a-4fc2-9f3e-50920c187868.

MLA Handbook (7^th Edition):

Frölke, Linde Josien (author). “Grey-box models for prediction and control of solar district heat plants.” 2018. Web. 26 Jan 2021.

Vancouver:

Frölke LJ(. Grey-box models for prediction and control of solar district heat plants. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 26]. Available from: http://resolver.tudelft.nl/uuid:e0ebc394-7d3a-4fc2-9f3e-50920c187868.

Council of Science Editors:

Frölke LJ(. Grey-box models for prediction and control of solar district heat plants. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:e0ebc394-7d3a-4fc2-9f3e-50920c187868

University of Florida

6. He, Zhulin. Causal Inference with Complex Sampling Designs.

Degree: PhD, Biostatistics, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044538

► This PhD dissertation concerns causal inference with data from complex sampling designs. It consist of several aspects regarding newly developed or implemented methodologies with complex… (more)

▼ This PhD dissertation concerns causal inference with data from complex sampling designs. It consist of several aspects regarding newly developed or implemented methodologies with complex survey data, which are described as follows. First, we consider the problem of adjusting for confounding by cluster in the context of complex multistage sampling and a binary outcome. We investigate three categories of approaches – ordinary logistic regression for survey data, with either no effect or a fixed effect for each cluster; conditional logistic regression extended for survey data; and generalized linear mixed model (GLMM) regression for survey data. We use theory, simulation, and analyses of the 2005 National Health Interview Survey (NHIS) data to compare and contrast all of these methods. One conclusion is that all of the methods perform poorly when the sampling bias is strong, which motivates us to find another method works properly with strong biased sampling designs. We then show that for logistic regression with a simple match-pairs design, infinitely replicating observations and maximizing the conditional likelihood results in an estimator identical to the unconditional maximum likelihood estimator (MLE) with a fixed effect for each pair based on the original sample. Therefore, applying conditional likelihood methods to a pseudosample with observations replicated a large number of times can lead to a biased estimator. This casts doubt on one alternative approach to conditional logistic regression with complex survey data. In the third chapter, we generalize binary conditional logistic regression for complex survey data by implementing the method based on a weighted pseudo-likelihood, in which the contribution from each neighborhood involves all pairs of cases and controls in the neighborhood. We show that it corresponds to an equivalent ordinary weighted log-likelihood formulation with binary outcomes. We explain how to program the method using standard software for ordinary logistic regression with complex survey data. We then apply the method to 2009 National Health Interview Survey (NHIS) public use data, to estimate the effect of education on health insurance coverage, adjusting for confounding by neighborhood. Last, we concentrate on adjusting for unmeasured confounding of the effect of cluster-level adherence on an individual binary outcome with complex sampling designs. Seeking new methodologies for adjusting for confounding due to cluster effects, we use double inverse-probability weighting to adjust for the disproportionate sampling and the association of individual-level confounders with randomization. Then we develop and apply methods based on structural nested models to estimate effects of adherence assessed in terms of relative risk and risk difference, using cluster-level randomization as an instrumental variable and using the double weights to adjust for complex sampling and individual-level confounding. As an important application, we wish to estimate the effect of school-level adherence on individual… Advisors/Committee Members: Brumback, Babette (committee chair), Lu, Xiaomin (committee member), Cantrell, Amy (committee member), Rheingans, Richard D (committee member).

Subjects/Keywords: Estimation methods; Estimators; Logistic regression; Maximum likelihood estimations; Maximum likelihood estimators; National health insurance; Sampling bias; Simulations; Statistics; Survey data; causal-inference – complex-survey-data – confounding – instrumental-variable – logistic-regression – matched-pairs – pseudolikelihood – structural-nested-models

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APA (6^th Edition):

He, Z. (2012). Causal Inference with Complex Sampling Designs. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044538

Chicago Manual of Style (16^th Edition):

He, Zhulin. “Causal Inference with Complex Sampling Designs.” 2012. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0044538.

MLA Handbook (7^th Edition):

He, Zhulin. “Causal Inference with Complex Sampling Designs.” 2012. Web. 26 Jan 2021.

Vancouver:

He Z. Causal Inference with Complex Sampling Designs. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0044538.

Council of Science Editors:

He Z. Causal Inference with Complex Sampling Designs. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044538

Brigham Young University

7. Larsen, Ross Allen Andrew. Food Shelf Life: Estimation and Experimental Design.

Degree: MS, 2006, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1430&context=etd

► Shelf life is a parameter of the lifetime distribution of a food product, usually the time until a specified proportion (1-50%) of the product… (more)

Subjects/Keywords: food shelf life; genetic algorithm; maximum likelihood methods; Statistics and Probability

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APA (6^th Edition):

Larsen, R. A. A. (2006). Food Shelf Life: Estimation and Experimental Design. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1430&context=etd

Chicago Manual of Style (16^th Edition):

Larsen, Ross Allen Andrew. “Food Shelf Life: Estimation and Experimental Design.” 2006. Masters Thesis, Brigham Young University. Accessed January 26, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1430&context=etd.

MLA Handbook (7^th Edition):

Larsen, Ross Allen Andrew. “Food Shelf Life: Estimation and Experimental Design.” 2006. Web. 26 Jan 2021.

Vancouver:

Larsen RAA. Food Shelf Life: Estimation and Experimental Design. [Internet] [Masters thesis]. Brigham Young University; 2006. [cited 2021 Jan 26]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1430&context=etd.

Council of Science Editors:

Larsen RAA. Food Shelf Life: Estimation and Experimental Design. [Masters Thesis]. Brigham Young University; 2006. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1430&context=etd

University of Florida

8. Li, Tao. Efficient Statistical Measurement Methods in Wired and Wireless Systems.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044106

► Traffic measurement provides critical real-world data for service providers and network administrators to perform capacity planning, accounting and billing, anomaly detection, and service provision. We… (more)

Subjects/Keywords: Algorithms; Bitmapped images; Estimate reliability; Estimation methods; Estimators; Maximum likelihood estimations; Radio frequency identification; Simulations; Traffic estimation; Traffic measurement; measurement – networks – rfid – traffic

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APA (6^th Edition):

Li, T. (2012). Efficient Statistical Measurement Methods in Wired and Wireless Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044106

Chicago Manual of Style (16^th Edition):

Li, Tao. “Efficient Statistical Measurement Methods in Wired and Wireless Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0044106.

MLA Handbook (7^th Edition):

Li, Tao. “Efficient Statistical Measurement Methods in Wired and Wireless Systems.” 2012. Web. 26 Jan 2021.

Vancouver:

Li T. Efficient Statistical Measurement Methods in Wired and Wireless Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0044106.

Council of Science Editors:

Li T. Efficient Statistical Measurement Methods in Wired and Wireless Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044106

University of Florida

9. Lopiano, Kenneth K. Regression Models with Spatially Misaligned Data.

Degree: PhD, Statistics, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044472

► In many applications, the response Y and the covariate X are associated with geographical units (e.g., a point in space or an areal unit). In… (more)

▼ In many applications, the response Y and the covariate X are associated with geographical units (e.g., a point in space or an areal unit). In practice, the geographical units associated with the observed response values and observed covariate values may be different. As a result, the data are said to be spatially misaligned. For example, if Y is observed for areal units and X is observed at points in space, a point-to-areal misalignment problem arises. As another example, if Y is observed at one set of points in space and X is observed at a different set of points in space, a point-to-point misalignment problem arises. Under certain modeling assumptions, the conditional distribution of the covariate at the geographical units associated with the response given the observed values of the covariate can be derived. The mean of this distribution is referred to as the kriging mean. The kriging mean has a Berkson error relationship with the true covariate. Naive inferences that use the kriging mean in subsequent regression models and ignore the additional uncertainty (i.e., the variability associated with conditional distribution) can result in biased effect estimates and understating the uncertainty associated with these estimates. We consider the Berkson error problem in generalized linear models and develop methods to estimate regression parameters and associated measures of uncertainty. Using the spatial misalignment problem as a motivating example throughout, we first review and compare existing methods developed to address the spatial misalignment problem in normal linear models. Then we show how methods used to conduct inference in linear mixed models and generalized linear mixed models can be adapted to conduct inference in generalized linear models with Berkson error. The properties of the inference procedures are assessed theoretically and via simulation and illustrated using examples of spatial misalignment. ( en ) Advisors/Committee Members: Young, Linda (committee chair), Daniels, Michael J (committee member), Casella, George (committee member), Mcintyre, Lauren (committee member).

Subjects/Keywords: Covariance; Estimation methods; Estimators; Kriging; Maximum likelihood estimations; Parametric models; Perceptual localization; Simulations; Statistical discrepancies; Unbiased estimators; generalized – kriging – linear – model – regression – spatial

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APA (6^th Edition):

Lopiano, K. K. (2012). Regression Models with Spatially Misaligned Data. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044472

Chicago Manual of Style (16^th Edition):

Lopiano, Kenneth K. “Regression Models with Spatially Misaligned Data.” 2012. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0044472.

MLA Handbook (7^th Edition):

Lopiano, Kenneth K. “Regression Models with Spatially Misaligned Data.” 2012. Web. 26 Jan 2021.

Vancouver:

Lopiano KK. Regression Models with Spatially Misaligned Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0044472.

Council of Science Editors:

Lopiano KK. Regression Models with Spatially Misaligned Data. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044472

University of Florida

10. McClave, James Thomas, 1944- ( Dissertant ). On some problems of estimation and prediction for non-stationary time series.

Degree: 1971, University of Florida

URL: https://ufdc.ufl.edu/UF00097680

Many techniques are available for estimating the parameters of

Subjects/Keywords: Approximation; Estimation methods; Estimators; Logistic growth; Logistics; Maximum likelihood estimates; Maximum likelihood estimations; Population estimates; Statistical estimation; Time series; Statistics thesis Ph. D; Time-series analysis

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APA (6^th Edition):

McClave, James Thomas, 1. (. D. ). (1971). On some problems of estimation and prediction for non-stationary time series. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00097680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

McClave, James Thomas, 1944- ( Dissertant ). “On some problems of estimation and prediction for non-stationary time series.” 1971. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UF00097680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

McClave, James Thomas, 1944- ( Dissertant ). “On some problems of estimation and prediction for non-stationary time series.” 1971. Web. 26 Jan 2021.

Vancouver:

McClave, James Thomas 1(D). On some problems of estimation and prediction for non-stationary time series. [Internet] [Thesis]. University of Florida; 1971. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UF00097680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McClave, James Thomas 1(D). On some problems of estimation and prediction for non-stationary time series. [Thesis]. University of Florida; 1971. Available from: https://ufdc.ufl.edu/UF00097680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Bosquet, Clément. Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination.

Degree: Docteur es, Sciences économiques, 2012, Aix Marseille Université

URL: http://www.theses.fr/2012AIXM1097

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Cette thèse rassemble principalement des contributions en économie de la science à laquelle les deux premières parties sont consacrées. La première teste l'importance des choix… (more)

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Cette thèse rassemble principalement des contributions en économie de la science à laquelle les deux premières parties sont consacrées. La première teste l'importance des choix méthodologiques dans la mesure de la production scientifique et étudie les canaux de diffusion de la connaissance. La deuxième s'intéresse aux déterminants individuels et locaux de la productivité des chercheurs et au différentiel de promotion entre hommes et femmes sur le marché du travail académique. Sont établis les résultats suivants : les choix méthodologiques dans la mesure de la production scientifique n'affectent que très peu les classements des institutions de recherche. Les citations et les poids associés à la qualité des journaux mesurent globalement la même productivité de la recherche. La localisation des chercheurs a un impact sur leur productivité dans la mesure où certaines universités génèrent davantage d'externalités que d'autres. Ces externalités sont plus importantes là où les chercheurs sont homogènes en terme de performances, où la diversité thématique est grande, et dans une moindre mesure dans les grands centres de recherche, lorsqu'il y a plus de femmes, de chercheurs âgés, de stars et là où les chercheurs sont connectés à des co-auteurs à l'étranger. Si les femmes sont moins souvent Professeur des Universités (par opposition à Maître de Conférences) que les hommes, ce n'est ni parce qu'elles sont discriminées dans le processus de promotion, ni que le coût de promotion (mobilité) est plus important pour elles, ni qu'elles ont des préférences différentes concernant le salaire et le prestige des institutions dans lesquelles elles travaillent.

The core of this thesis lies in the field of economics of science to which the two first parts are devoted. The first part questions the impact of methodological choices in the measurement of research productivity and studies the channels of knowledge diffusion. The second part studies the impact on individual publication records of both individual and departments' characteristics and analyse the gender gap in occupations on the academic labour market. The main results are the following: methodological choices in the measurement of research productivity do not impact the estimated hierarchy of research institutions. Citations and journal quality weights measure the same dimension of publication productivity. Location matters in the academic research activity: some departments generate more externalities than others. Externalities are higher where academics are homogeneous in terms of publication performance and have diverse research fields, and, to a lower extent, if the department is large, with more women, older academics, stars and co-authors connection to foreign departments. If women are less likely to be full Professor (with respect to Assistant Professor) than men, this is neither because they are discriminated against in the promotion process, neither because the promotion cost (mobility) is higher for them, nor because they have different preferences for salaries versus…

Advisors/Committee Members: Combes, Pierre-Philippe (thesis director).

Subjects/Keywords: Économie de la science; Production scientifique; Citations, publications; Déterminants de la productivité; Effets de pairs; Discrimination; Équations de gravité; Méthodes de pseudo-maximum de vraisemblance; Economics of science; Research productivity; Citations; Publications; Productivity determinants; Peer effects; Discrimination; Gravity equations; Pseudo-Maximum Likelihood methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bosquet, C. (2012). Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2012AIXM1097

Chicago Manual of Style (16^th Edition):

Bosquet, Clément. “Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination.” 2012. Doctoral Dissertation, Aix Marseille Université. Accessed January 26, 2021. http://www.theses.fr/2012AIXM1097.

MLA Handbook (7^th Edition):

Bosquet, Clément. “Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination.” 2012. Web. 26 Jan 2021.

Vancouver:

Bosquet C. Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination. [Internet] [Doctoral dissertation]. Aix Marseille Université 2012. [cited 2021 Jan 26]. Available from: http://www.theses.fr/2012AIXM1097.

Council of Science Editors:

Bosquet C. Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination : International trade and economics of science : distances, agglomeration, peer effects and discrimination. [Doctoral Dissertation]. Aix Marseille Université 2012. Available from: http://www.theses.fr/2012AIXM1097

University of Florida

12. Shah, Neena, 1967-. Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests.

Degree: PhD, Statistics, 1998, University of Florida

URL: https://ufdc.ufl.edu/AA00038311

Subjects/Keywords: Diseases; Estimation bias; Estimation methods; Estimators; Gold standard; Least squares; Local maximum; Maximum likelihood estimations; Medical diagnostic tests; Sample size

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shah, Neena, 1. (1998). Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00038311

Chicago Manual of Style (16^th Edition):

Shah, Neena, 1967-. “Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests.” 1998. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/AA00038311.

MLA Handbook (7^th Edition):

Shah, Neena, 1967-. “Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests.” 1998. Web. 26 Jan 2021.

Vancouver:

Shah, Neena 1. Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests. [Internet] [Doctoral dissertation]. University of Florida; 1998. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/AA00038311.

Council of Science Editors:

Shah, Neena 1. Estimated generalized nonlinear least squares for latent class analysis of diagnostic tests. [Doctoral Dissertation]. University of Florida; 1998. Available from: https://ufdc.ufl.edu/AA00038311

Penn State University

13. Hughes, John. Likelihood Inference for Particle Location in Fluorescence Microscopy .

Degree: 2009, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/9320

► We introduce a procedure to automatically count and locate the fuorescent particles in a microscopy image. Our procedure employs an approximate likelihood estimator derived from… (more)

Subjects/Keywords: organelle; particle tracking; fluorescence microscopy; Poisson random field; maximum likelihood methods; molecular motor; nanotechnology

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APA (6^th Edition):

Hughes, J. (2009). Likelihood Inference for Particle Location in Fluorescence Microscopy . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hughes, John. “Likelihood Inference for Particle Location in Fluorescence Microscopy .” 2009. Thesis, Penn State University. Accessed January 26, 2021. https://submit-etda.libraries.psu.edu/catalog/9320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hughes, John. “Likelihood Inference for Particle Location in Fluorescence Microscopy .” 2009. Web. 26 Jan 2021.

Vancouver:

Hughes J. Likelihood Inference for Particle Location in Fluorescence Microscopy . [Internet] [Thesis]. Penn State University; 2009. [cited 2021 Jan 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/9320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hughes J. Likelihood Inference for Particle Location in Fluorescence Microscopy . [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Pontifical Catholic University of Rio de Janeiro

14. JULIANA FERNANDES DA COSTA MACEDO. [en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA.

Degree: 2016, Pontifical Catholic University of Rio de Janeiro

URL: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25713

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[pt] O principal objetivo desta dissertação é realizar a previsão da reserva IBNR. Para isto foi desenvolvido um modelo estatístico de distribuições combinadas que busca… (more)

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[pt] O principal objetivo desta dissertação é realizar a previsão da reserva IBNR. Para isto foi desenvolvido um modelo estatístico de distribuições combinadas que busca uma adequada representação dos dados. A reserva IBNR, sigla em inglês para Incurred But Not Reported, representa o montante que as seguradoras precisam ter para pagamentos de sinistros atrasados, que já ocorreram no passado, mas ainda não foram avisados à seguradora até a data presente. Dada a importância desta reserva, diversos métodos para estimação da reserva IBNR já foram propostos. Um dos métodos mais utilizado pelas seguradoras é o Método Chain Ladder, que se baseia em triângulos run-off, que é o agrupamento dos dados conforme data de ocorrência e aviso de sinistro. No entanto o agrupamento dos dados faz com que informações importantes sejam perdidas. Esta dissertação baseada em outros artigos e trabalhos que consideram o não agrupamento dos dados, propõe uma nova modelagem para os dados não agrupados. O modelo proposto combina a distribuição do atraso no aviso da ocorrência, representada aqui pela distribuição log-normal truncada (pois só há informação até a última data observada); a distribuição da quantidade total de sinistros ocorridos num dado período, modelada pela distribuição Poisson; e a distribuição do número de sinistros ocorridos em um dado período e avisados até a última data observada, que será caracterizada por uma distribuição Binomial. Por fim, a quantidade de sinistros IBNR foi estimada por método e pelo Chain Ladder e avaliou-se a capacidade de previsão de ambos. Apesar da distribuição de atrasos do modelo proposto se adequar bem aos dados, o modelo proposto obteve resultados inferiores ao Chain Ladder em termos de previsão.

[en] The main objective of this dissertation is to predict the IBNR reserve. For this, it was developed a statistical model of combined distributions looking for a new distribution that fits the data well. The IBNR reserve, short for Incurred But Not Reported, represents the amount that insurers need to have to pay for the claims that occurred in the past but have not been reported until the present date. Given the importance of this reserve, several methods for estimating this reserve have been proposed. One of the most used methods for the insurers is the Chain Ladder, which is based on run-off triangles; this is a format of grouping the data according to the occurrence and the reported date. However this format causes the lost of important information. This dissertation, based on other articles and works that consider the data not grouped, proposes a new model for the non-aggregated data. The proposed model combines the delay in the claim report distribution represented by a log normal truncated (because there is only information until the last observed date); the total amount of claims incurred in a given period modeled by a Poisson distribution and the number of claims occurred in a certain period and reported until the last observed date characterized by a binomial distribution. Finally, the IBNR…

Advisors/Committee Members: ALVARO DE LIMA VEIGA FILHO.

Subjects/Keywords: [pt] TRIANGULO RUN-OFF; [pt] CHAIN LADDER; [en] CHAIN LADDER; [pt] METODOS SEM TRIANGULO; [en] TRIANGLE FREE METHODS; [pt] DISTRIBUICAO LOG-NORMAL TRUNCADA; [en] TRUNCATED LOG-NORMAL DISTRIBUTION; [pt] ESTIMADOR DE MAXIMA VEROSSIMILHANCA; [en] MAXIMUM-LIKELIHOOD ESTIMATION

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APA (6^th Edition):

MACEDO, J. F. D. C. (2016). [en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

MACEDO, JULIANA FERNANDES DA COSTA. “[en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA.” 2016. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed January 26, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

MACEDO, JULIANA FERNANDES DA COSTA. “[en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA.” 2016. Web. 26 Jan 2021.

Vancouver:

MACEDO JFDC. [en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. [cited 2021 Jan 26]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MACEDO JFDC. [en] A POISSON-LOGNORMAL MODEL TO FORECAST THE IBNR QUANTITY VIA MICRO-DATA. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ottawa

15. Ureten, Suzan. Single and Multiple Emitter Localization in Cognitive Radio Networks .

Degree: 2017, University of Ottawa

URL: http://hdl.handle.net/10393/35692

► Cognitive radio (CR) is often described as a context-intelligent radio, capable of changing the transmit parameters dynamically based on the interaction with the environment it… (more)

▼ Cognitive radio (CR) is often described as a context-intelligent radio, capable of changing the transmit parameters dynamically based on the interaction with the environment it operates. The work in this thesis explores the problem of using received signal strength (RSS) measurements taken by a network of CR nodes to generate an interference map of a given geographical area and estimate the locations of multiple primary transmitters that operate simultaneously in the area. A probabilistic model of the problem is developed, and algorithms to address location estimation challenges are proposed. Three approaches are proposed to solve the localization problem. The first approach is based on estimating the locations from the generated interference map when no information about the propagation model or any of its parameters is present. The second approach is based on approximating the maximum likelihood (ML) estimate of the transmitter locations with the grid search method when the model is known and its parameters are available. The third approach also requires the knowledge of model parameters but it is actually based on generating samples from the joint posterior of the unknown location parameter with Markov chain Monte Carlo (MCMC) methods, as an alternative for the highly computationally complex grid search approach. For RF cartography generation problem, we study global and local interpolation techniques, specifically the Delaunay triangulation based techniques as the use of existing triangulation provides a computationally attractive solution. We present a comparative performance evaluation of these interpolation techniques in terms of RF field strength estimation and emitter localization. Even though the estimates obtained from the generated interference maps are less accurate compared to the ML estimator, the rough estimates are utilized to initialize a more accurate algorithm such as the MCMC technique to reduce the complexity of the algorithm. The complexity issues of ML estimators based on full grid search are also addressed by various types of iterative grid search methods. One challenge to apply the ML estimation algorithm to multiple emitter localization problem is that, it requires a pdf approximation to summands of log-normal random variables for likelihood calculations at each grid location. This inspires our investigations on sum of log-normal approximations studied in literature for selecting the appropriate approximation to our model assumptions. As a final extension of this work, we propose our own approximation based on distribution fitting to a set of simulated data and compare our approach with Fenton-Wilkinson's well-known approximation which is a simple and computational efficient approach that fits a log-normal distribution to sum of log-normals by matching the first and second central moments of random variables. We demonstrate that the location estimation accuracy of the grid search technique obtained with our proposed approximation is higher than the one obtained with…

Subjects/Keywords: cognitive radio networks; multiple emitter localization; primary emitter localization; interference map generation; maximum likelihood estimator; grid search; Markov chain Monte Carlo; Metropolis Hastings; log-normal distribution; approximation methods; Delaunay triangulation; Cramer Rao

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ureten, S. (2017). Single and Multiple Emitter Localization in Cognitive Radio Networks . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ureten, Suzan. “Single and Multiple Emitter Localization in Cognitive Radio Networks .” 2017. Thesis, University of Ottawa. Accessed January 26, 2021. http://hdl.handle.net/10393/35692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ureten, Suzan. “Single and Multiple Emitter Localization in Cognitive Radio Networks .” 2017. Web. 26 Jan 2021.

Vancouver:

Ureten S. Single and Multiple Emitter Localization in Cognitive Radio Networks . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10393/35692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ureten S. Single and Multiple Emitter Localization in Cognitive Radio Networks . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/35692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Linköping University

16. Sabbagh, Yvonne. Maximum Likelihood Estimation of Hammerstein Models.

Degree: Electrical Engineering, 2003, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061

► In this Master's thesis, Maximum Likelihood-based parametric identification methods for discrete-time SISO Hammerstein models from perturbed observations on both input and output, are investigated.… (more)

Subjects/Keywords: Datorteknik; Hammerstein models; nonlinear dynamic systems; system identification; Maximum Likelihood; parametric identification methods.; Datorteknik; Computer Engineering; Datorteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sabbagh, Y. (2003). Maximum Likelihood Estimation of Hammerstein Models. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sabbagh, Yvonne. “Maximum Likelihood Estimation of Hammerstein Models.” 2003. Thesis, Linköping University. Accessed January 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sabbagh, Yvonne. “Maximum Likelihood Estimation of Hammerstein Models.” 2003. Web. 26 Jan 2021.

Vancouver:

Sabbagh Y. Maximum Likelihood Estimation of Hammerstein Models. [Internet] [Thesis]. Linköping University; 2003. [cited 2021 Jan 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sabbagh Y. Maximum Likelihood Estimation of Hammerstein Models. [Thesis]. Linköping University; 2003. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

17. Jank, Wolfgang S., 1970-. Stochastic estimation methods in general hierarchical models.

Degree: PhD, Statistics, 2001, University of Florida

URL: https://ufdc.ufl.edu/AA00039135

Subjects/Keywords: Approximation; Estimation methods; Maximum likelihood estimations; Modeling; Multilevel models; Sample size; Simulations; Statistical discrepancies; Statistical models; Statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jank, Wolfgang S., 1. (2001). Stochastic estimation methods in general hierarchical models. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00039135

Chicago Manual of Style (16^th Edition):

Jank, Wolfgang S., 1970-. “Stochastic estimation methods in general hierarchical models.” 2001. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/AA00039135.

MLA Handbook (7^th Edition):

Jank, Wolfgang S., 1970-. “Stochastic estimation methods in general hierarchical models.” 2001. Web. 26 Jan 2021.

Vancouver:

Jank, Wolfgang S. 1. Stochastic estimation methods in general hierarchical models. [Internet] [Doctoral dissertation]. University of Florida; 2001. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/AA00039135.

Council of Science Editors:

Jank, Wolfgang S. 1. Stochastic estimation methods in general hierarchical models. [Doctoral Dissertation]. University of Florida; 2001. Available from: https://ufdc.ufl.edu/AA00039135

University of Florida

18. Akande, Christiana Aikenosi. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.

Degree: MA, Research and Evaluation Methodology - Human Development and Organizational Studies in Education, 2015, University of Florida

URL: https://ufdc.ufl.edu/UFE0047847

► This study explores optimal choices for the number of anchor items and equating links that yield satisfactorily stable equating results in a Non-Equivalent Anchor Test… (more)

Subjects/Keywords: Educational evaluation; Estimation methods; High school students; Item response theory; Mathematical independent variables; Maximum likelihood estimations; Parametric models; Population estimates; Standard error; Test scores; anchor-test-length – chained-equating – item-parameter-drift – neat-design – scale-stability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Akande, C. A. (2015). Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047847

Chicago Manual of Style (16^th Edition):

Akande, Christiana Aikenosi. “Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.” 2015. Masters Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0047847.

MLA Handbook (7^th Edition):

Akande, Christiana Aikenosi. “Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.” 2015. Web. 26 Jan 2021.

Vancouver:

Akande CA. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. [Internet] [Masters thesis]. University of Florida; 2015. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0047847.

Council of Science Editors:

Akande CA. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. [Masters Thesis]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047847

University of Florida

19. Huh, Jangyong. Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy.

Degree: MS, Nuclear Engineering Sciences - Nuclear and Radiological Engineering, 2009, University of Florida

URL: https://ufdc.ufl.edu/UFE0024167

► In our study, all the general procedures necessary for extracting useful information from the measured gamma spectrum of a BGO detector and point radioisotope sources… (more)

Subjects/Keywords: Crystals; Energy; Experimental results; Maximum likelihood estimations; Modeling; Photons; Radio spectrum; Simulations; Spectral index; Spectral methods; bgo, deconvolution, mcnp5, response

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huh, J. (2009). Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0024167

Chicago Manual of Style (16^th Edition):

Huh, Jangyong. “Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy.” 2009. Masters Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0024167.

MLA Handbook (7^th Edition):

Huh, Jangyong. “Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy.” 2009. Web. 26 Jan 2021.

Vancouver:

Huh J. Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0024167.

Council of Science Editors:

Huh J. Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy. [Masters Thesis]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0024167

University of Florida

20. Namgung, Yearnok Yoon, 1960-. The effects of an option-3 measurement scheme in detecting changes in longitudinal data.

Degree: 1992, University of Florida

URL: https://ufdc.ufl.edu/AA00040503

Subjects/Keywords: Change detection; Error rates; Estimation methods; Gaussian distributions; Longitudinal data; Maximum likelihood estimations; Outliers; Simulations; Statistical discrepancies; Statistics; Statistics thesis Ph.D

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Namgung, Yearnok Yoon, 1. (1992). The effects of an option-3 measurement scheme in detecting changes in longitudinal data. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00040503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Namgung, Yearnok Yoon, 1960-. “The effects of an option-3 measurement scheme in detecting changes in longitudinal data.” 1992. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/AA00040503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Namgung, Yearnok Yoon, 1960-. “The effects of an option-3 measurement scheme in detecting changes in longitudinal data.” 1992. Web. 26 Jan 2021.

Vancouver:

Namgung, Yearnok Yoon 1. The effects of an option-3 measurement scheme in detecting changes in longitudinal data. [Internet] [Thesis]. University of Florida; 1992. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/AA00040503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Namgung, Yearnok Yoon 1. The effects of an option-3 measurement scheme in detecting changes in longitudinal data. [Thesis]. University of Florida; 1992. Available from: https://ufdc.ufl.edu/AA00040503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Su, Chen. Some Studies on Parameter Estimations.

Degree: PhD, Mathematics, 2016, University of Kansas

URL: http://hdl.handle.net/1808/21898

► Parameter estimation has wide applications in such fields as finance, biological science, weather prediction, oil deposit detection, etc. Researchers are particularly interested in reconstructing some… (more)

▼ Parameter estimation has wide applications in such fields as finance, biological science, weather prediction, oil deposit detection, etc. Researchers are particularly interested in reconstructing some unknown parameters from the observed data set which may be sparse and noisy. This is a typical inverse problem which tends to be ill-conditioned in many cases. A plethora of literature has been devoted to this area and there has been a concrete progress recently in the design of more efficient estimation techniques. Depending on the model (usually an equation or a system of equations) we choose, we divide the estimation into two categories: stochastic and deterministic parameter estimations. The former involves a stochastic system, usually a stochastic differential equation (SDE) or system of SDEs where unknown parameters are present. A standard estimator to use for stochastic parameter estimation problems is the maximum likelihood estimator (MLE), since it, in many situations, enjoys desirable properties such as consistency and asymptotic normality. One major obstacle in obtaining the MLE is that the transition density of SDE, which is essential for deriving MLE, is often not available. To address this issue, various approximations of transition density was introduced in the past decades. In chapter 1, we will present several popular density approximation schemes including Euler-Maruyama methods and Hermite expansions. We will also introduce the parametrix approximation in which we derive a point-wise approximation of the transition density that is uniform in the parameter. As a consequence, the approximated MLE from parametrix method will eventually converge to the true MLE so that those desired properties of MLE can be preserved. We will see some applications of the parametrix approximation and some necessary preliminaries regarding the ergodicity of SDEs and the consistency of the estimators will also be presented. The deterministic parameter estimation involves a partial differential equation (PDE) or a system of PDEs. A key feature for this type of estimation is the high level of uncertainty for recovering the parameters, i.e. different choices of parameters may all yield reasonable explanation of the data. This is a typical feature for many ill-conditioned inverse problems. The Bayesian inference formulation provides a systematic way to characterize this uncertainty. It incorporates a prior, which is from the historical data before any experiment is done, and a likelihood, which measures how likely the data will be provided that certain parameter value is chosen, to form a posterior density. It generates a neat solution which takes the form of a posterior probability density. However, how to interpret this posterior density is a non-trivial task since the forward model may be very expensive and the discretized parameter field may result in a high dimensional density. As a consequence, efficient sampling techniques are called for to better characterize the posterior. In chapter 2, we will introduce some… Advisors/Committee Members: Hu, Yaozhong (advisor), Tu, Xuemin (advisor), Nualart, David (cmtemember), Soo, Terry (cmtemember), Zhang, Jianbo (cmtemember).

Subjects/Keywords: Mathematics; Bayesian methods; implicit sampling; inverse problems; maximum likelihood estimator; stochastic differential equations

…both cases, estimation relies heavily on the maximum likelihood estimator (MLE)… …the transition probability density is available, it is natural to choose maximum likelihood… …maximizers, which will not affect the following paragraphs. Thus θ̂n is the maximum likelihood… …The Prior, Likelihood Function, and Posterior . . . . . . . . . . . . . . . . 79 2.6… …Other Methods . . . . . . . . . . . . . . . . . . . . . . . 85 Concluding Remarks 90 A…

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APA (6^th Edition):

Su, C. (2016). Some Studies on Parameter Estimations. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/21898

Chicago Manual of Style (16^th Edition):

Su, Chen. “Some Studies on Parameter Estimations.” 2016. Doctoral Dissertation, University of Kansas. Accessed January 26, 2021. http://hdl.handle.net/1808/21898.

MLA Handbook (7^th Edition):

Su, Chen. “Some Studies on Parameter Estimations.” 2016. Web. 26 Jan 2021.

Vancouver:

Su C. Some Studies on Parameter Estimations. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1808/21898.

Council of Science Editors:

Su C. Some Studies on Parameter Estimations. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/21898

Swedish University of Agricultural Sciences

22. Xie, Yingfu. Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes.

Degree: 2007, Swedish University of Agricultural Sciences

URL: http://pub.epsilon.slu.se/1594/

► Financial time series are frequently met both in daily life and the scientific world. It is clearly of importance to study the financial time series,… (more)

▼ Financial time series are frequently met both in daily life and the scientific world. It is clearly of importance to study the financial time series, to understand the mechanism giving rise to the data, and/or predict the future values of a series. This thesis is dedicated to statistical inferences of a number of models for financial time series. Financial time series often exhibit time-varying and clustering volatility (conditional variance), which were not handled well by traditional models, until the development of the autoregressive conditionally heteroscedastic (ARCH) and the generalized ARCH (GARCH) models. We prove the consistency and asymptotic normality of the quasi-maximum likelihood estimators for a GARCH(1,2) model with dependent innovations, which extends the results for the GARCH(1,1) model in the literature under weaker conditions. The regime-switching GARCH (RS-GARCH) model extends the GARCH models by incorporating a Markov switching into the variance structure. The statistical inferences for the RS-GARCH model are difficult due to the complex dependence structure. One alternative is to take average over all regimes at every step, and adapt the integrated conditional variances. Another one is to transform the GARCH into an ARCH model. The maximum likelihood (ML) estimation of these two cases is considered. Consistency of the ML estimators is proved, and the asymptotic normality is suggested by simulation studies. The results are further generalized to a general autoregressive model with Markov switching, in which the autoregression can be of infinite order. Consistency of the ML estimators is obtained and the asymptotic normality is conjectured. Time series analysis can also be conducted in frequency domain, i.e. to analyze their spectral values obtained by e.g. Fourier or wavelet transforms. Locally stationary wavelet (LSW) processes are a class of processes defined on a set of non-decimated wavelets. We first address the problem on how to select a wavelet in practice, and some guidelines are suggested by simulation studies. The existing forecasting algorithm for LSW processes is found vulnerable to outliers, and a new forecasting algorithm is proposed to overcome this weakness. The new algorithm is shown stable and outperforms the existing algorithm when applied to real financial data. The volatility forecasting ability of LSW model based on our new algorithm is then discussed and is shown to be competitive with GARCH models. Algorithms and functions for data generation, calculation and maximization of the likelihoods for RS-GARCH models, and for the new forecasting algorithm of LSW processes are appended.

Subjects/Keywords: time series analysis; statistical methods; forecasting; simulation models; Consistency; Financial time series; Forecasting; GARCH; LSW process; Maximum likelihood estimation; Markov switching; Non-decimated wavelet; Volatility forecasting

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APA (6^th Edition):

Xie, Y. (2007). Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/1594/

Chicago Manual of Style (16^th Edition):

Xie, Yingfu. “Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes.” 2007. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed January 26, 2021. http://pub.epsilon.slu.se/1594/.

MLA Handbook (7^th Edition):

Xie, Yingfu. “Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes.” 2007. Web. 26 Jan 2021.

Vancouver:

Xie Y. Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2007. [cited 2021 Jan 26]. Available from: http://pub.epsilon.slu.se/1594/.

Council of Science Editors:

Xie Y. Maximum likelihood estimation and forecasting for GARCH, Markov switching, and locally stationary wavelet processes. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2007. Available from: http://pub.epsilon.slu.se/1594/

23. Azevedo, Caio Lucidius Naberezny. "Métodos de estimação na teoria de resposta ao item".

Degree: Mestrado, Estatística, 2003, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05102004-163906/ ;

►

Neste trabalho apresentamos os mais importantes processos de estimação em algumas classes de modelos de resposta ao item (Dicotômicos e Policotômicos). Discutimos algumas propriedades desses… (more)

Subjects/Keywords: Bayesian Methods; Estimação Paramétrica; Latent variable models; Máxima Verossimilhança; Maximum likelihood; MCMC simulation; Métodos Bayesianos; Modelos de Variáveis Latentes; Parametric estimation; simulação MCMC

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APA (6^th Edition):

Azevedo, C. L. N. (2003). "Métodos de estimação na teoria de resposta ao item". (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05102004-163906/ ;

Chicago Manual of Style (16^th Edition):

Azevedo, Caio Lucidius Naberezny. “"Métodos de estimação na teoria de resposta ao item".” 2003. Masters Thesis, University of São Paulo. Accessed January 26, 2021. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05102004-163906/ ;.

MLA Handbook (7^th Edition):

Azevedo, Caio Lucidius Naberezny. “"Métodos de estimação na teoria de resposta ao item".” 2003. Web. 26 Jan 2021.

Vancouver:

Azevedo CLN. "Métodos de estimação na teoria de resposta ao item". [Internet] [Masters thesis]. University of São Paulo; 2003. [cited 2021 Jan 26]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05102004-163906/ ;.

Council of Science Editors:

Azevedo CLN. "Métodos de estimação na teoria de resposta ao item". [Masters Thesis]. University of São Paulo; 2003. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05102004-163906/ ;

24. Pettyjohn, Jeffrey Stuart. Model-based Estimation and Inference Procedures for Clock Synchronization.

Degree: Applied Statistics, 2010, University of California – Riverside

URL: http://www.escholarship.org/uc/item/61c159dk

► Accurate clock synchronization is essential in the operation of networks. In applications in which it can be performed frequently, the process generally relies upon the… (more)

▼ Accurate clock synchronization is essential in the operation of networks. In applications in which it can be performed frequently, the process generally relies upon the estimation of the relative offset of two different clocks. However, due to limited power resources in Wireless Sensor Networks, it cannot be performed often. Thus in order to obtain a longer lasting synchronization, the relative frequency of two clocks is also estimated. In the literature, there are estimators for relative offset and frequency based on a variety of techniques including graphical methods, maximum likelihood estimation, and least squares estimation. However, there has been no extensive study to compare the performance of these estimators. In this dissertation, the existing estimators are examined in detail and several alternative least squares-based estimators are developed and compared with the existing estimators in an exhaustive study.Although there is a large literature on estimating relative offset and frequency, there is little to no research regarding inference. This topic is of potentially great importance because it may possibly lead to limiting unneeded synchronization, resulting in better conservation of network power resources. Recent work has focused on the construction of confidence intervals for relative offset and while it does not address relative frequency, it is an important first step towards developing procedures that do. In this work, it has been assumed that the network delays that occur during the synchronization process are independent, but this may not be appropriate in all applications. The network delays are often modeled as independent exponential random variables. Thus to improve upon the existing confidence interval methodology, in this dissertation the use of bivariate exponential distributions is introduced to capture the anticipated correlation between the network delays. Moreover, an alternative confidence interval procedure for offset is developed and is then used to illustrate how the assumption of independent network delays can potentially lead to improper inference about relative offset.

Subjects/Keywords: Statistics; Confidence Intervals; Exponential distributions; Least Squares (LS) methods; Maximum Likelihood Estimation (MLE); Synchronization; Wireless Sensor Network (WSN)

…x5D;, which is simple to compute, has been demonstrated to be the maximum likelihood… …3.2 The Exponential Maximum Likelihood Estimator In the case of the timing message data, the… …x28; ) 5.1 Maximum possible value of ! for µ AB , µ BA for the Freund distribution… …ˆ CLS ," A.2 Comparison of methods to compute ! using example datasets ��…. 136 CLS A… …in the network. It is natural to look towards existing methods in the offsetonly model and…

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APA (6^th Edition):

Pettyjohn, J. S. (2010). Model-based Estimation and Inference Procedures for Clock Synchronization. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/61c159dk

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pettyjohn, Jeffrey Stuart. “Model-based Estimation and Inference Procedures for Clock Synchronization.” 2010. Thesis, University of California – Riverside. Accessed January 26, 2021. http://www.escholarship.org/uc/item/61c159dk.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pettyjohn, Jeffrey Stuart. “Model-based Estimation and Inference Procedures for Clock Synchronization.” 2010. Web. 26 Jan 2021.

Vancouver:

Pettyjohn JS. Model-based Estimation and Inference Procedures for Clock Synchronization. [Internet] [Thesis]. University of California – Riverside; 2010. [cited 2021 Jan 26]. Available from: http://www.escholarship.org/uc/item/61c159dk.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pettyjohn JS. Model-based Estimation and Inference Procedures for Clock Synchronization. [Thesis]. University of California – Riverside; 2010. Available from: http://www.escholarship.org/uc/item/61c159dk

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

25. Baskin, Robert M., 1949-. Confidence sets for functions of variance components in a mixed linear model.

Degree: 1991, University of Florida

URL: https://ufdc.ufl.edu/AA00037085

Subjects/Keywords: Bayes estimators; Central limit theorem; Estimation methods; Estimators; Linear models; Matrices; Maximum likelihood estimations; Simulations; Statistical discrepancies; Statistical estimation; Linear models (Statistics); Statistics thesis Ph.D

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Baskin, Robert M., 1. (1991). Confidence sets for functions of variance components in a mixed linear model. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00037085

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Baskin, Robert M., 1949-. “Confidence sets for functions of variance components in a mixed linear model.” 1991. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/AA00037085.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Baskin, Robert M., 1949-. “Confidence sets for functions of variance components in a mixed linear model.” 1991. Web. 26 Jan 2021.

Vancouver:

Baskin, Robert M. 1. Confidence sets for functions of variance components in a mixed linear model. [Internet] [Thesis]. University of Florida; 1991. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/AA00037085.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baskin, Robert M. 1. Confidence sets for functions of variance components in a mixed linear model. [Thesis]. University of Florida; 1991. Available from: https://ufdc.ufl.edu/AA00037085

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

26. Conlon, Michael, 1953- ( Dissertant ). Continuously adaptive M-estimation in the linear model.

Degree: 1982, University of Florida

URL: https://ufdc.ufl.edu/UF00097429

M-estimates of regression parameters are found by minimizing the sum

Subjects/Keywords: Approximation; Density estimation; Estimation methods; Estimators; Least squares; Mathematical robustness; Maximum likelihood estimations; Outliers; Statistical discrepancies; Statistics; Estimation theory; Linear models (Statistics); Statistics thesis Ph. D

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APA (6^th Edition):

Conlon, Michael, 1. (. D. ). (1982). Continuously adaptive M-estimation in the linear model. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00097429

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Conlon, Michael, 1953- ( Dissertant ). “Continuously adaptive M-estimation in the linear model.” 1982. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UF00097429.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Conlon, Michael, 1953- ( Dissertant ). “Continuously adaptive M-estimation in the linear model.” 1982. Web. 26 Jan 2021.

Vancouver:

Conlon, Michael 1(D). Continuously adaptive M-estimation in the linear model. [Internet] [Thesis]. University of Florida; 1982. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UF00097429.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Conlon, Michael 1(D). Continuously adaptive M-estimation in the linear model. [Thesis]. University of Florida; 1982. Available from: https://ufdc.ufl.edu/UF00097429

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

27. Downing, Darryl Jon, 1947-. Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process.

Degree: 1974, University of Florida

URL: https://ufdc.ufl.edu/UF00098169

Subjects/Keywords: Density estimation; Estimation methods; Estimation theory; Estimators; Jacobians; Matrices; Maximum likelihood estimations; Statistical estimation; Statistics; Unbiased estimators; Estimation theory; Statistics thesis Ph. D; Stochastic processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Downing, Darryl Jon, 1. (1974). Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00098169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Downing, Darryl Jon, 1947-. “Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process.” 1974. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UF00098169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Downing, Darryl Jon, 1947-. “Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process.” 1974. Web. 26 Jan 2021.

Vancouver:

Downing, Darryl Jon 1. Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process. [Internet] [Thesis]. University of Florida; 1974. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UF00098169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Downing, Darryl Jon 1. Estimating and testing the parameters of a generalization of the first order nonstationary autoregressive process. [Thesis]. University of Florida; 1974. Available from: https://ufdc.ufl.edu/UF00098169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

28. Roy, Ananya. Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation.

Degree: PhD, Statistics, 2007, University of Florida

URL: https://ufdc.ufl.edu/UFE0021364

► The topic of this dissertation focuses on the formulation of empirical and hierarchical Bayesian techniques in the context of small area estimation. In the first… (more)

Subjects/Keywords: Bayes estimators; Estimation bias; Estimation methods; Estimators; Maximum likelihood estimations; Point estimators; Population estimates; Statistical discrepancies; Statistical estimation; Unbiased estimators; bayes, binary, estimation, mse, robust

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Roy, A. (2007). Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021364

Chicago Manual of Style (16^th Edition):

Roy, Ananya. “Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation.” 2007. Doctoral Dissertation, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/UFE0021364.

MLA Handbook (7^th Edition):

Roy, Ananya. “Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation.” 2007. Web. 26 Jan 2021.

Vancouver:

Roy A. Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/UFE0021364.

Council of Science Editors:

Roy A. Empirical and Hierarchical Bayesian Methods with Applications to Small Area Estimation. [Doctoral Dissertation]. University of Florida; 2007. Available from: https://ufdc.ufl.edu/UFE0021364

University of Florida

29. Huber, Dudley Arvle, 1948-. Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics.

Degree: 1993, University of Florida

URL: https://ufdc.ufl.edu/AA00003661

Subjects/Keywords: Architectural design; Covariance; Design efficiency; Estimation bias; Estimation methods; Linear models; Matrices; Maximum likelihood estimations; Random variables; Statistical discrepancies; Forest Resources and Conservation thesis Ph. D

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APA (6^th Edition):

Huber, Dudley Arvle, 1. (1993). Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00003661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huber, Dudley Arvle, 1948-. “Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics.” 1993. Thesis, University of Florida. Accessed January 26, 2021. https://ufdc.ufl.edu/AA00003661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huber, Dudley Arvle, 1948-. “Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics.” 1993. Web. 26 Jan 2021.

Vancouver:

Huber, Dudley Arvle 1. Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics. [Internet] [Thesis]. University of Florida; 1993. [cited 2021 Jan 26]. Available from: https://ufdc.ufl.edu/AA00003661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huber, Dudley Arvle 1. Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics. [Thesis]. University of Florida; 1993. Available from: https://ufdc.ufl.edu/AA00003661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université du Luxembourg

30. Zhen, Ni. Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg.

Degree: 2018, Université du Luxembourg

URL: http://orbilu.uni.lu/handle/10993/35748

► This doctoral dissertation examines the essential topics of employment dynamics, firm performance and innovation persistence comprehensively. In particular, this doctoral dissertation provides an assessment of… (more)

▼ This doctoral dissertation examines the essential topics of employment dynamics, firm performance and innovation persistence comprehensively. In particular, this doctoral dissertation provides an assessment of the differentiated role of innovation strategies in employment, firm performance and innovation persistence. Chapter 2 studies the dynamic relationship between technological innovation and employment using Luxembourgish firm level data pertaining to the non-financial corporate sector during the period 2003-2012. A simple theoretical model that distinguishes the employment effect of product innovation from that of process innovation is developed. The model is then estimated by two-step generalised method of moments using an unbalanced panel data stemming from the annual structural business survey merged with the biennial innovation survey. The results show that the semi-elasticity of employment with respect to product innovation lies between 0.2% and 0.5%. The differential in the employment effects between radical and incremental innovation is estimated to be 50%. Similarly, the employment level differential between product innovators and firms with unchanged products lies between 4% and 11%. Unlike product innovation, however, process innovation does not have any significant effect on the firm level of employment. Chapter 3 investigates the two-way relationship between technological innovation and firm performance at the firm level. In the framework of evolutionary economics, innovation is regarded as a highly cumulative process which exhibits positive feedback. This chapter aims at capturing the interdependent relationship and possible bidirectional causality between innovation and firm performance. Superior firm performance facilitates the emergence of innovations, innovation contributes to firm performance by gaining successful and sustainable competitive advantage, which forms a virtuous circle. A fully recursive simultaneous model is established where product and process innovation are explicitly distinguished. The system of simultaneous equations with mixed structure is estimated by full information maximum likelihood methods. The longitudinal firm-level data is applied over the 2003-2012 period by merging five waves of the Luxembourgish innovation survey with structural business surveys. This chapter discovers that enhanced firm performance facilitates process innovation and process innovation improves firm performance, which forms a self-reinforcing virtuous circle. An opposite pattern is identified for the product innovation on the ground of cannibalization effect and inherent market risks associated with new products. Chapter 4 explores innovation persistence at the firm level by means of dynamic nonlinear random effects models based on the estimator proposed by Albarrán et al. [2015]. It aims at capturing the true state dependence which indicates the causal relationship between innovation in one period and decision to innovate in the subsequent period. The Albarrán et al. [2015] method accounts… Advisors/Committee Members: Hussinger, Katrin [superviser], Mohnen, Pierre [superviser], Palm, Franz [superviser], Raymond, Wladimir [superviser].

Subjects/Keywords: Innovation; employment; GMM; firm performance; simultaneous model with mixed structure; full Information Maximum Likelihood; evolutionary economics; state dependence; dynamic nonlinear random effects model withunbalanced panel; radical product innovation; sunk costs of R&D; Business & economic sciences :: Strategy & innovation [B08]; Sciences économiques & de gestion :: Stratégie & innovation [B08]; Business & economic sciences :: Quantitative methods in economics & management [B09]; Sciences économiques & de gestion :: Méthodes quantitatives en économie & gestion [B09]

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhen, N. (2018). Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/35748

Chicago Manual of Style (16^th Edition):

Zhen, Ni. “Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg.” 2018. Doctoral Dissertation, Université du Luxembourg. Accessed January 26, 2021. http://orbilu.uni.lu/handle/10993/35748.

MLA Handbook (7^th Edition):

Zhen, Ni. “Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg.” 2018. Web. 26 Jan 2021.

Vancouver:

Zhen N. Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2018. [cited 2021 Jan 26]. Available from: http://orbilu.uni.lu/handle/10993/35748.

Council of Science Editors:

Zhen N. Employment Dynamics, Firm Performance and Innovation Persistence in the Context of Differentiated Innovation Types: Evidence from Luxembourg. [Doctoral Dissertation]. Université du Luxembourg; 2018. Available from: http://orbilu.uni.lu/handle/10993/35748

Open Access Theses and Dissertations