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You searched for subject:(errors in variables bias). Showing records 1 – 30 of 89447 total matches.

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University of Southern California

1. Wang, Junbo. Two essays on financial econometrics.

Degree: PhD, Business Administration, 2014, University of Southern California

 My dissertation contains two chapters. The first chapter is ""Can weight‐based measures distinguish between informed and uninformed fund managers?"" This is based on my job… (more)

Subjects/Keywords: financial econometrics; mutual fund; weight-based measures; Fama-Macbeth regression; errors-in-variables bias

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

APA (6th Edition):

Wang, J. (2014). Two essays on financial econometrics. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/437210/rec/7621

Chicago Manual of Style (16th Edition):

Wang, Junbo. “Two essays on financial econometrics.” 2014. Doctoral Dissertation, University of Southern California. Accessed August 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/437210/rec/7621.

MLA Handbook (7th Edition):

Wang, Junbo. “Two essays on financial econometrics.” 2014. Web. 17 Aug 2019.

Vancouver:

Wang J. Two essays on financial econometrics. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Aug 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/437210/rec/7621.

Council of Science Editors:

Wang J. Two essays on financial econometrics. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/437210/rec/7621


Montana State University

2. Weeding, Jennifer Lee. Bayesian measurement error modeling with application to the area under the curve summary measure.

Degree: College of Letters & Science, 2016, Montana State University

 Measurement errors arise in a variety of circumstances and occur when a variable cannot be observed exactly, but instead is observed with error. For example,… (more)

Subjects/Keywords: Errors-in-variables models.; Mathematical models.; Pharmacology.

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APA (6th Edition):

Weeding, J. L. (2016). Bayesian measurement error modeling with application to the area under the curve summary measure. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9867

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

Chicago Manual of Style (16th Edition):

Weeding, Jennifer Lee. “Bayesian measurement error modeling with application to the area under the curve summary measure.” 2016. Thesis, Montana State University. Accessed August 17, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9867.

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

MLA Handbook (7th Edition):

Weeding, Jennifer Lee. “Bayesian measurement error modeling with application to the area under the curve summary measure.” 2016. Web. 17 Aug 2019.

Vancouver:

Weeding JL. Bayesian measurement error modeling with application to the area under the curve summary measure. [Internet] [Thesis]. Montana State University; 2016. [cited 2019 Aug 17]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9867.

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

Council of Science Editors:

Weeding JL. Bayesian measurement error modeling with application to the area under the curve summary measure. [Thesis]. Montana State University; 2016. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9867

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


Kansas State University

3. Chen, Shu. Some limit behaviors for the LS estimators in errors-in-variables regression model.

Degree: MS, Department of Statistics, 2011, Kansas State University

 There has been a continuing interest among statisticians in the problem of regression models wherein the independent variables are measured with error and there is… (more)

Subjects/Keywords: Errors-in-variables regression model; Statistics (0463)

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APA (6th Edition):

Chen, S. (2011). Some limit behaviors for the LS estimators in errors-in-variables regression model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/12206

Chicago Manual of Style (16th Edition):

Chen, Shu. “Some limit behaviors for the LS estimators in errors-in-variables regression model.” 2011. Masters Thesis, Kansas State University. Accessed August 17, 2019. http://hdl.handle.net/2097/12206.

MLA Handbook (7th Edition):

Chen, Shu. “Some limit behaviors for the LS estimators in errors-in-variables regression model.” 2011. Web. 17 Aug 2019.

Vancouver:

Chen S. Some limit behaviors for the LS estimators in errors-in-variables regression model. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2097/12206.

Council of Science Editors:

Chen S. Some limit behaviors for the LS estimators in errors-in-variables regression model. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/12206


Université de Bordeaux I

4. Sigrist, Zoé. Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.

Degree: Docteur es, Automatique et productique, signal et image, ingénierie cognitique, 2012, Université de Bordeaux I

Cette thèse porte sur la caractérisation de structures mécaniques, au travers de leurs paramètres structuraux, à partir d'observations perturbées par des bruits de mesure, supposés… (more)

Subjects/Keywords: Séries de Volterra; Modèle NARX; Modèle NOE; Biais d'estimation; Erreurs dans les variables; Algortihme LMS; Algorithmes sans biais d'estimation; Algorithmes génétiques; Algorithmes à évolution différentielle; Volterra series; NARX model; NOE model; Estimation bias; Errors-in-variables; LMS algorithm; Algorithms without estimation bias; Genetic algorithms; Differential evolution algorithms

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APA (6th Edition):

Sigrist, Z. (2012). Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2012BOR14655

Chicago Manual of Style (16th Edition):

Sigrist, Zoé. “Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2012. Doctoral Dissertation, Université de Bordeaux I. Accessed August 17, 2019. http://www.theses.fr/2012BOR14655.

MLA Handbook (7th Edition):

Sigrist, Zoé. “Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2012. Web. 17 Aug 2019.

Vancouver:

Sigrist Z. Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2012. [cited 2019 Aug 17]. Available from: http://www.theses.fr/2012BOR14655.

Council of Science Editors:

Sigrist Z. Contribution à l'identification de systèmes non-linéaires en milieu bruité pour la modélisation de structures mécaniques soumises à des excitations vibratoires : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Doctoral Dissertation]. Université de Bordeaux I; 2012. Available from: http://www.theses.fr/2012BOR14655


Université Catholique de Louvain

5. Francq, Bernard G. Errors-in-variables regressions to assess equivalence in method comparison studies.

Degree: 2013, Université Catholique de Louvain

Analytical laboratories continuously assess the uncertainties and reliability of their measurement systems so that their clients can take the right decision. This leads to the… (more)

Subjects/Keywords: errors in variables regressions; bland and altman; correlated errors in variables; predictive intervals errors variables; method comparison studies; confidence band; agreement interval; tolerance interval; equivalence measurement methods; deming regression

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APA (6th Edition):

Francq, B. G. (2013). Errors-in-variables regressions to assess equivalence in method comparison studies. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/135862

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

Chicago Manual of Style (16th Edition):

Francq, Bernard G. “Errors-in-variables regressions to assess equivalence in method comparison studies.” 2013. Thesis, Université Catholique de Louvain. Accessed August 17, 2019. http://hdl.handle.net/2078.1/135862.

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

MLA Handbook (7th Edition):

Francq, Bernard G. “Errors-in-variables regressions to assess equivalence in method comparison studies.” 2013. Web. 17 Aug 2019.

Vancouver:

Francq BG. Errors-in-variables regressions to assess equivalence in method comparison studies. [Internet] [Thesis]. Université Catholique de Louvain; 2013. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2078.1/135862.

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

Council of Science Editors:

Francq BG. Errors-in-variables regressions to assess equivalence in method comparison studies. [Thesis]. Université Catholique de Louvain; 2013. Available from: http://hdl.handle.net/2078.1/135862

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


University of Alberta

6. Wu, Ouyang. EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

 In this thesis, under the EM algorithm framework, a multiple model approach is developed towards electricity price prediction, and the identification problem for errors-in-variables (EIV)… (more)

Subjects/Keywords: Pool price prediction; EM algorithm; Multiple model; Errors-in-variables

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APA (6th Edition):

Wu, O. (2015). EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/ccf95jb53m

Chicago Manual of Style (16th Edition):

Wu, Ouyang. “EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.” 2015. Masters Thesis, University of Alberta. Accessed August 17, 2019. https://era.library.ualberta.ca/files/ccf95jb53m.

MLA Handbook (7th Edition):

Wu, Ouyang. “EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.” 2015. Web. 17 Aug 2019.

Vancouver:

Wu O. EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Aug 17]. Available from: https://era.library.ualberta.ca/files/ccf95jb53m.

Council of Science Editors:

Wu O. EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/ccf95jb53m


Kansas State University

7. Jia, Weijia. Goodness-of-fit tests in measurement error models with replications.

Degree: PhD, Department of Statistics, 2018, Kansas State University

 In this dissertation, goodness-of-fit tests are proposed for checking the adequacy of parametric distributional forms of the regression error density functions and the error-prone predictor… (more)

Subjects/Keywords: Errors-in-variables; Goodness-of-fit; Replication; Consistency; Local power

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APA (6th Edition):

Jia, W. (2018). Goodness-of-fit tests in measurement error models with replications. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/38660

Chicago Manual of Style (16th Edition):

Jia, Weijia. “Goodness-of-fit tests in measurement error models with replications.” 2018. Doctoral Dissertation, Kansas State University. Accessed August 17, 2019. http://hdl.handle.net/2097/38660.

MLA Handbook (7th Edition):

Jia, Weijia. “Goodness-of-fit tests in measurement error models with replications.” 2018. Web. 17 Aug 2019.

Vancouver:

Jia W. Goodness-of-fit tests in measurement error models with replications. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2097/38660.

Council of Science Editors:

Jia W. Goodness-of-fit tests in measurement error models with replications. [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38660


Columbia University

8. Makela, Susanna. Essays in Cluster Sampling and Causal Inference.

Degree: 2018, Columbia University

 This thesis consists of three papers in applied statistics, specifically in cluster sampling, causal inference, and measurement error. The first paper studies the problem of… (more)

Subjects/Keywords: Statistics; Mathematical statistics; Cluster analysis; Errors-in-variables models

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APA (6th Edition):

Makela, S. (2018). Essays in Cluster Sampling and Causal Inference. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8CG165C

Chicago Manual of Style (16th Edition):

Makela, Susanna. “Essays in Cluster Sampling and Causal Inference.” 2018. Doctoral Dissertation, Columbia University. Accessed August 17, 2019. https://doi.org/10.7916/D8CG165C.

MLA Handbook (7th Edition):

Makela, Susanna. “Essays in Cluster Sampling and Causal Inference.” 2018. Web. 17 Aug 2019.

Vancouver:

Makela S. Essays in Cluster Sampling and Causal Inference. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Aug 17]. Available from: https://doi.org/10.7916/D8CG165C.

Council of Science Editors:

Makela S. Essays in Cluster Sampling and Causal Inference. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8CG165C


Kansas State University

9. Walker, Nelson B. Bias correction of bounded location errors in binary data.

Degree: MS, Department of Statistics, 2018, Kansas State University

 Binary regression models for spatial data are commonly used in disciplines such as epidemiology and ecology. Many spatially-referenced binary data sets suffer from location error,… (more)

Subjects/Keywords: Errors-in-variables; Logistic regression; Poisson point process; Probit regression

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APA (6th Edition):

Walker, N. B. (2018). Bias correction of bounded location errors in binary data. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/39089

Chicago Manual of Style (16th Edition):

Walker, Nelson B. “Bias correction of bounded location errors in binary data.” 2018. Masters Thesis, Kansas State University. Accessed August 17, 2019. http://hdl.handle.net/2097/39089.

MLA Handbook (7th Edition):

Walker, Nelson B. “Bias correction of bounded location errors in binary data.” 2018. Web. 17 Aug 2019.

Vancouver:

Walker NB. Bias correction of bounded location errors in binary data. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2097/39089.

Council of Science Editors:

Walker NB. Bias correction of bounded location errors in binary data. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39089


University of Manchester

10. Althubaiti, Alaa Mohammed A. Dependent Berkson errors in linear and nonlinear models.

Degree: PhD, 2011, University of Manchester

 Often predictor variables in regression models are measured with errors. This is known as an errors-in-variables (EIV) problem. The statistical analysis of the data ignoring… (more)

Subjects/Keywords: 519; Errors-in-Variables, Berkson Errors, Classical Errors, Mixing Errors, Mixture Experiment, Dose-Response Studies, Bioassay, Scheffé Polynomial, Hill Equation, Regression Calibration, Simulation-Extrapolation.

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APA (6th Edition):

Althubaiti, A. M. A. (2011). Dependent Berkson errors in linear and nonlinear models. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/dependent-berkson-errors-in-linear-and-nonlinear-models(d56c5e58-bf97-4b47-b8ce-588f970dc45f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538399

Chicago Manual of Style (16th Edition):

Althubaiti, Alaa Mohammed A. “Dependent Berkson errors in linear and nonlinear models.” 2011. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/dependent-berkson-errors-in-linear-and-nonlinear-models(d56c5e58-bf97-4b47-b8ce-588f970dc45f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538399.

MLA Handbook (7th Edition):

Althubaiti, Alaa Mohammed A. “Dependent Berkson errors in linear and nonlinear models.” 2011. Web. 17 Aug 2019.

Vancouver:

Althubaiti AMA. Dependent Berkson errors in linear and nonlinear models. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Aug 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/dependent-berkson-errors-in-linear-and-nonlinear-models(d56c5e58-bf97-4b47-b8ce-588f970dc45f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538399.

Council of Science Editors:

Althubaiti AMA. Dependent Berkson errors in linear and nonlinear models. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/dependent-berkson-errors-in-linear-and-nonlinear-models(d56c5e58-bf97-4b47-b8ce-588f970dc45f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538399


University of Manchester

11. Althubaiti, Alaa Mohammed A. DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS.

Degree: 2011, University of Manchester

 Often predictor variables in regression models are measured with errors. This is known as an errors-in-variables (EIV) problem. The statistical analysis of the data ignoring… (more)

Subjects/Keywords: Errors-in-Variables; Berkson Errors; Classical Errors; Mixing Errors; Mixture Experiment; Dose-Response Studies; Bioassay; Scheffé Polynomial; Hill Equation; Regression Calibration; Simulation-Extrapolation.

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APA (6th Edition):

Althubaiti, A. M. A. (2011). DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124153

Chicago Manual of Style (16th Edition):

Althubaiti, Alaa Mohammed A. “DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS.” 2011. Doctoral Dissertation, University of Manchester. Accessed August 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124153.

MLA Handbook (7th Edition):

Althubaiti, Alaa Mohammed A. “DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS.” 2011. Web. 17 Aug 2019.

Vancouver:

Althubaiti AMA. DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Aug 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124153.

Council of Science Editors:

Althubaiti AMA. DEPENDENT BERKSON ERRORS IN LINEAR AND NONLINEAR MODELS. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124153


University of California – Riverside

12. Huang, Hung-Jen. Bayesian Analysis of Errors-in-Variables Growth Curve Models.

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

 We propose analyzing our data with a model that exhibits errors-in-variables (EIV) in auxiliary information and which has an autoregressive covariance structure using a Bayesian… (more)

Subjects/Keywords: Statistics; Biology, Biostatistics; Health Sciences, General; Bayesian analysis; Dirichlet process; errors-in-variables; growth curves; measurement errors; multivariate

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APA (6th Edition):

Huang, H. (2010). Bayesian Analysis of Errors-in-Variables Growth Curve Models. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/66v6d88v

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

Chicago Manual of Style (16th Edition):

Huang, Hung-Jen. “Bayesian Analysis of Errors-in-Variables Growth Curve Models.” 2010. Thesis, University of California – Riverside. Accessed August 17, 2019. http://www.escholarship.org/uc/item/66v6d88v.

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

MLA Handbook (7th Edition):

Huang, Hung-Jen. “Bayesian Analysis of Errors-in-Variables Growth Curve Models.” 2010. Web. 17 Aug 2019.

Vancouver:

Huang H. Bayesian Analysis of Errors-in-Variables Growth Curve Models. [Internet] [Thesis]. University of California – Riverside; 2010. [cited 2019 Aug 17]. Available from: http://www.escholarship.org/uc/item/66v6d88v.

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

Council of Science Editors:

Huang H. Bayesian Analysis of Errors-in-Variables Growth Curve Models. [Thesis]. University of California – Riverside; 2010. Available from: http://www.escholarship.org/uc/item/66v6d88v

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


University of the Western Cape

13. Kondlo, Lwando Orbet. Estimation of Pareto distribution functions from samples contaminated by measurement errors .

Degree: 2010, University of the Western Cape

 The intention is to draw more specific connections between certain deconvolution methods and also to demonstrate the application of the statistical theory of estimation in… (more)

Subjects/Keywords: Deconvolution; Distribution functions; Error-Contaminated samples; Errors-in-variables; Jackknife; Maximum likelihood method; Measurement errors; Nonparametric estimation; Pareto distribution

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APA (6th Edition):

Kondlo, L. O. (2010). Estimation of Pareto distribution functions from samples contaminated by measurement errors . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2509

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

Chicago Manual of Style (16th Edition):

Kondlo, Lwando Orbet. “Estimation of Pareto distribution functions from samples contaminated by measurement errors .” 2010. Thesis, University of the Western Cape. Accessed August 17, 2019. http://hdl.handle.net/11394/2509.

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

MLA Handbook (7th Edition):

Kondlo, Lwando Orbet. “Estimation of Pareto distribution functions from samples contaminated by measurement errors .” 2010. Web. 17 Aug 2019.

Vancouver:

Kondlo LO. Estimation of Pareto distribution functions from samples contaminated by measurement errors . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/11394/2509.

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

Council of Science Editors:

Kondlo LO. Estimation of Pareto distribution functions from samples contaminated by measurement errors . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/2509

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


University of Florida

14. Koo, Namwook. Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data.

Degree: PhD, Research and Evaluation Methodology - Human Development and Organizational Studies in Education, 2012, University of Florida

 The mediated effect is generally nonnormally distributed. Therefore, nonnormal data could cause more serious bias in estimating and testing the mediated effect. This study aimed… (more)

Subjects/Keywords: Bootstrap resampling; Estimation bias; Estimation methods; False positive errors; Kurtosis; Mathematical variables; Sample size; Sampling bias; Skewed distribution; Standard error; growth  – latent  – longitudinal  – mediation  – sem

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APA (6th Edition):

Koo, N. (2012). Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044478

Chicago Manual of Style (16th Edition):

Koo, Namwook. “Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0044478.

MLA Handbook (7th Edition):

Koo, Namwook. “Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data.” 2012. Web. 17 Aug 2019.

Vancouver:

Koo N. Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0044478.

Council of Science Editors:

Koo N. Accuracy of Estimates, Empirical Type I Error Rates, and Statistical Power Rates for Testing Mediation in Latent Growth Modeling in the Presence of Nonnormal Data. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044478

15. Liu, Yantong. Robust mixture linear EIV regression models by t-distribution.

Degree: MS, Department of Statistics, 2013, Kansas State University

 A robust estimation procedure for mixture errors-in-variables linear regression models is proposed in the report by assuming the error terms follow a t-distribution. The estimation… (more)

Subjects/Keywords: Robust estimation; Linear errors-in-variables model; EM algorithm; Mixture; T-distribution; Statistics (0463)

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Liu, Y. (2013). Robust mixture linear EIV regression models by t-distribution. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/15157

Chicago Manual of Style (16th Edition):

Liu, Yantong. “Robust mixture linear EIV regression models by t-distribution.” 2013. Masters Thesis, Kansas State University. Accessed August 17, 2019. http://hdl.handle.net/2097/15157.

MLA Handbook (7th Edition):

Liu, Yantong. “Robust mixture linear EIV regression models by t-distribution.” 2013. Web. 17 Aug 2019.

Vancouver:

Liu Y. Robust mixture linear EIV regression models by t-distribution. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2097/15157.

Council of Science Editors:

Liu Y. Robust mixture linear EIV regression models by t-distribution. [Masters Thesis]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15157


University of Florida

16. Jackman, Mary. A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning.

Degree: PhD, Research and Evaluation Methodology - Human Development and Organizational Studies in Education, 2010, University of Florida

 This dissertation evaluated the performance of factor mixture modeling in the detection of differential item functioning (DIF). Using a Monte Carlo simulation, the study first… (more)

Subjects/Keywords: Error rates; False positive errors; Mathematical variables; Modeling; Parametric models; Psychometrics; Sample size; Simulations; Statistical models; Test bias; differential, factor, functioning, item, mixture, modeling

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

APA (6th Edition):

Jackman, M. (2010). A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041954

Chicago Manual of Style (16th Edition):

Jackman, Mary. “A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning.” 2010. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0041954.

MLA Handbook (7th Edition):

Jackman, Mary. “A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning.” 2010. Web. 17 Aug 2019.

Vancouver:

Jackman M. A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0041954.

Council of Science Editors:

Jackman M. A Monte Carlo Investigation of the Performance of Factor Mixture Modeling in the Detection of Differential Item Functioning. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041954


University of Florida

17. Macinnes, Jann. The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach.

Degree: PhD, Research and Evaluation Methodology - Educational Psychology, 2009, University of Florida

 Multilevel data often exist in educational studies. The focus of this study is to consider differential item functioning (DIF) for dichotomous items from a multilevel… (more)

Subjects/Keywords: False positive errors; Logistic regression; Mantels; Mathematical variables; Modeling; Multilevel models; Parametric models; Sample size; Simulations; Test bias; dif, haenszel, mantel, multilevel

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APA (6th Edition):

Macinnes, J. (2009). The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041142

Chicago Manual of Style (16th Edition):

Macinnes, Jann. “The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach.” 2009. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0041142.

MLA Handbook (7th Edition):

Macinnes, Jann. “The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach.” 2009. Web. 17 Aug 2019.

Vancouver:

Macinnes J. The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0041142.

Council of Science Editors:

Macinnes J. The Mantel-Haenszel Method for Detecting Differential Item Functioning in Dichotomously Scored Items a Multilevel Approach. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041142

18. Al-Sharadqah, Ali. Statistical analysis of curve fitting in errors in-variables models.

Degree: PhD, 2011, University of Alabama – Birmingham

This dissertation is devoted to the problem of fitting geometric curves such as lines, circles, and ellipses to a set of experimental observations whose both… (more)

Subjects/Keywords: Curve fitting<; br>; Errors-in-variables models<; br>; Least squares<; br>; Statistics – Graphic methods

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APA (6th Edition):

Al-Sharadqah, A. (2011). Statistical analysis of curve fitting in errors in-variables models. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,1335

Chicago Manual of Style (16th Edition):

Al-Sharadqah, Ali. “Statistical analysis of curve fitting in errors in-variables models.” 2011. Doctoral Dissertation, University of Alabama – Birmingham. Accessed August 17, 2019. http://contentdm.mhsl.uab.edu/u?/etd,1335.

MLA Handbook (7th Edition):

Al-Sharadqah, Ali. “Statistical analysis of curve fitting in errors in-variables models.” 2011. Web. 17 Aug 2019.

Vancouver:

Al-Sharadqah A. Statistical analysis of curve fitting in errors in-variables models. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2011. [cited 2019 Aug 17]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,1335.

Council of Science Editors:

Al-Sharadqah A. Statistical analysis of curve fitting in errors in-variables models. [Doctoral Dissertation]. University of Alabama – Birmingham; 2011. Available from: http://contentdm.mhsl.uab.edu/u?/etd,1335


IUPUI

19. Wang, Chenkun. Flexible models of time-varying exposures.

Degree: 2015, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

With the availability of electronic medical records, medication dispensing data offers an unprecedented opportunity for researchers to explore complex relationships… (more)

Subjects/Keywords: Medical records  – Data processing; Medicine  – Research  – Statistical methods; Medicine  – Data processing; Errors-in-variables models; Regression analysis

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APA (6th Edition):

Wang, C. (2015). Flexible models of time-varying exposures. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/7938 ; http://dx.doi.org/10.7912/C2GW2H

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

Chicago Manual of Style (16th Edition):

Wang, Chenkun. “Flexible models of time-varying exposures.” 2015. Thesis, IUPUI. Accessed August 17, 2019. http://hdl.handle.net/1805/7938 ; http://dx.doi.org/10.7912/C2GW2H.

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

MLA Handbook (7th Edition):

Wang, Chenkun. “Flexible models of time-varying exposures.” 2015. Web. 17 Aug 2019.

Vancouver:

Wang C. Flexible models of time-varying exposures. [Internet] [Thesis]. IUPUI; 2015. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1805/7938 ; http://dx.doi.org/10.7912/C2GW2H.

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

Council of Science Editors:

Wang C. Flexible models of time-varying exposures. [Thesis]. IUPUI; 2015. Available from: http://hdl.handle.net/1805/7938 ; http://dx.doi.org/10.7912/C2GW2H

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


IUPUI

20. Wang, Chenkun. Flexible models of time-varying exposures.

Degree: 2015, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

With the availability of electronic medical records, medication dispensing data offers an unprecedented opportunity for researchers to explore complex relationships… (more)

Subjects/Keywords: Medical records  – Data processing; Medicine  – Research  – Statistical methods; Medicine  – Data processing; Errors-in-variables models; Regression analysis

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

APA (6th Edition):

Wang, C. (2015). Flexible models of time-varying exposures. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/7938

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

Chicago Manual of Style (16th Edition):

Wang, Chenkun. “Flexible models of time-varying exposures.” 2015. Thesis, IUPUI. Accessed August 17, 2019. http://hdl.handle.net/1805/7938.

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

MLA Handbook (7th Edition):

Wang, Chenkun. “Flexible models of time-varying exposures.” 2015. Web. 17 Aug 2019.

Vancouver:

Wang C. Flexible models of time-varying exposures. [Internet] [Thesis]. IUPUI; 2015. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1805/7938.

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

Council of Science Editors:

Wang C. Flexible models of time-varying exposures. [Thesis]. IUPUI; 2015. Available from: http://hdl.handle.net/1805/7938

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


Université de Bordeaux I

21. Chetoui, Manel. Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data.

Degree: Docteur es, Automatique, productique, signal et image, 2013, Université de Bordeaux I

Les principales contributions de cette thèse concernent l'identification à temps continu des systèmes par modèles non entiers dans un contexte à erreurs en les variables.… (more)

Subjects/Keywords: Dérivation non entière; Identification; Temps continu; Erreurs en les variables; Statistiques d'ordre supérieur; Fractional differentiation; System identification; Continuous-time; Errors in variables; Higher-order statistics

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APA (6th Edition):

Chetoui, M. (2013). Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2013BOR15244

Chicago Manual of Style (16th Edition):

Chetoui, Manel. “Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data.” 2013. Doctoral Dissertation, Université de Bordeaux I. Accessed August 17, 2019. http://www.theses.fr/2013BOR15244.

MLA Handbook (7th Edition):

Chetoui, Manel. “Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data.” 2013. Web. 17 Aug 2019.

Vancouver:

Chetoui M. Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2013. [cited 2019 Aug 17]. Available from: http://www.theses.fr/2013BOR15244.

Council of Science Editors:

Chetoui M. Identification de systèmes par modèle non entier à partir de signaux d'entrée sortie bruités : Systems identification with fractional models using noisy input output data. [Doctoral Dissertation]. Université de Bordeaux I; 2013. Available from: http://www.theses.fr/2013BOR15244

22. Huang, Qizhuo. Geometric Fitting In Error-In-Variables Model.

Degree: PhD, 2012, University of Alabama – Birmingham

This dissertation is devoted to the study of a popular regression model: Error-In-Variable Model, which has been commonlyrecognized as one of the key components of… (more)

Subjects/Keywords: Errors-in-variables models.<; br>; Conic sections.<; br>; Coordinates, Elliptic.<; br>; Image processing – Mathematics.<; br>; Smoothing (Numerical analysis)

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APA (6th Edition):

Huang, Q. (2012). Geometric Fitting In Error-In-Variables Model. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,1463

Chicago Manual of Style (16th Edition):

Huang, Qizhuo. “Geometric Fitting In Error-In-Variables Model.” 2012. Doctoral Dissertation, University of Alabama – Birmingham. Accessed August 17, 2019. http://contentdm.mhsl.uab.edu/u?/etd,1463.

MLA Handbook (7th Edition):

Huang, Qizhuo. “Geometric Fitting In Error-In-Variables Model.” 2012. Web. 17 Aug 2019.

Vancouver:

Huang Q. Geometric Fitting In Error-In-Variables Model. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2012. [cited 2019 Aug 17]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,1463.

Council of Science Editors:

Huang Q. Geometric Fitting In Error-In-Variables Model. [Doctoral Dissertation]. University of Alabama – Birmingham; 2012. Available from: http://contentdm.mhsl.uab.edu/u?/etd,1463


Université de Bordeaux I

23. Petitjean, Julien. Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.

Degree: Docteur es, Automatique, productique, signal et image, 2010, Université de Bordeaux I

Cette thèse traite du traitement adaptatif spatio-temporel dans le domaine radar. Pour augmenter les performances en détection, cette approche consiste à maximiser le rapport entre… (more)

Subjects/Keywords: Stap; Distribution K; Processus autorégressif vectoriel; Filtrage de Kalman par sigma point; Filtrage H∞; Technique à erreurs dans les variables; Méthode du point fixe; Stap; K distribution; Multichannel autoregressive process; Sigma point Kalman filter; H∞ filter; Errors in variables; Fixed point

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APA (6th Edition):

Petitjean, J. (2010). Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2010BOR14157

Chicago Manual of Style (16th Edition):

Petitjean, Julien. “Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2010. Doctoral Dissertation, Université de Bordeaux I. Accessed August 17, 2019. http://www.theses.fr/2010BOR14157.

MLA Handbook (7th Edition):

Petitjean, Julien. “Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2010. Web. 17 Aug 2019.

Vancouver:

Petitjean J. Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2010. [cited 2019 Aug 17]. Available from: http://www.theses.fr/2010BOR14157.

Council of Science Editors:

Petitjean J. Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Doctoral Dissertation]. Université de Bordeaux I; 2010. Available from: http://www.theses.fr/2010BOR14157


Leiden University

24. Lay, Sophia. Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery.

Degree: 2017, Leiden University

 Establishing age-at-death is important to forensic and biological anthropologists for identification and demographic analyses, but some degree of error is unavoidable. In human osteoarchaeology, there… (more)

Subjects/Keywords: Osteoarchaeology; Middenbeemster; Age estimation; Sex bias; Age bias; Taphonomic variables; Taphonomy; Preservation

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APA (6th Edition):

Lay, S. (2017). Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/52560

Chicago Manual of Style (16th Edition):

Lay, Sophia. “Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery.” 2017. Masters Thesis, Leiden University. Accessed August 17, 2019. http://hdl.handle.net/1887/52560.

MLA Handbook (7th Edition):

Lay, Sophia. “Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery.” 2017. Web. 17 Aug 2019.

Vancouver:

Lay S. Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery. [Internet] [Masters thesis]. Leiden University; 2017. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1887/52560.

Council of Science Editors:

Lay S. Taphonomic variables affecting the accuracy of age estimation methods for individuals aged 50 years and older in a 17th-19th Dutch cemetery. [Masters Thesis]. Leiden University; 2017. Available from: http://hdl.handle.net/1887/52560


Oregon State University

25. Altmaier, Pamela M. Students' Decision to Disclose a Bias-Related Incident.

Degree: MS, College Student Services Administration, 2016, Oregon State University

 This qualitative study informed by a phenomenological approach explored the experiences of students when deciding to disclose bias-related incidents. Through an individual interview and follow-up… (more)

Subjects/Keywords: Bias; Minorities in higher education

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APA (6th Edition):

Altmaier, P. M. (2016). Students' Decision to Disclose a Bias-Related Incident. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/58968

Chicago Manual of Style (16th Edition):

Altmaier, Pamela M. “Students' Decision to Disclose a Bias-Related Incident.” 2016. Masters Thesis, Oregon State University. Accessed August 17, 2019. http://hdl.handle.net/1957/58968.

MLA Handbook (7th Edition):

Altmaier, Pamela M. “Students' Decision to Disclose a Bias-Related Incident.” 2016. Web. 17 Aug 2019.

Vancouver:

Altmaier PM. Students' Decision to Disclose a Bias-Related Incident. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1957/58968.

Council of Science Editors:

Altmaier PM. Students' Decision to Disclose a Bias-Related Incident. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/58968


University of Kansas

26. Shaw, Leslie A. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.

Degree: PhD, Psychology, 2017, University of Kansas

 One assumption in regression-based models is that no theoretically important variables have been omitted from the model. Provided an omitted variable has a strong effect… (more)

Subjects/Keywords: Quantitative psychology; bias; exact discrete model; omitted variables; robust

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APA (6th Edition):

Shaw, L. A. (2017). The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/26026

Chicago Manual of Style (16th Edition):

Shaw, Leslie A. “The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.” 2017. Doctoral Dissertation, University of Kansas. Accessed August 17, 2019. http://hdl.handle.net/1808/26026.

MLA Handbook (7th Edition):

Shaw, Leslie A. “The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.” 2017. Web. 17 Aug 2019.

Vancouver:

Shaw LA. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. [Internet] [Doctoral dissertation]. University of Kansas; 2017. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/1808/26026.

Council of Science Editors:

Shaw LA. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. [Doctoral Dissertation]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/26026


Uppsala University

27. Karlsson, Maja. Error detection in wastewater treatment plants using mass balances.

Degree: Information Technology, 2018, Uppsala University

  Process data from wastewater treatment plants are often corrupted by errors. These data provide a basis for operating the plant, therefore effort should be… (more)

Subjects/Keywords: mass balance; wastewater treatment plant; error detection; data reconciliation; gross errors; random errors; bias; Engineering and Technology; Teknik och teknologier

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APA (6th Edition):

Karlsson, M. (2018). Error detection in wastewater treatment plants using mass balances. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360963

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

Chicago Manual of Style (16th Edition):

Karlsson, Maja. “Error detection in wastewater treatment plants using mass balances.” 2018. Thesis, Uppsala University. Accessed August 17, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360963.

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

MLA Handbook (7th Edition):

Karlsson, Maja. “Error detection in wastewater treatment plants using mass balances.” 2018. Web. 17 Aug 2019.

Vancouver:

Karlsson M. Error detection in wastewater treatment plants using mass balances. [Internet] [Thesis]. Uppsala University; 2018. [cited 2019 Aug 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360963.

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

Council of Science Editors:

Karlsson M. Error detection in wastewater treatment plants using mass balances. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360963

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

28. Oliveira, Willian Luís de. Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Modelos com erros de medição têm recebido a atenção de vários pesquisadores das mais diversas áreas de conhecimento. O principal objetivo desta dissertação consiste no… (more)

Subjects/Keywords: Dados desemparelhados e desbalanceados; Errors-in-variables; Functional relationships; Measurement error model; Método SIMEX; Modelo com erros de medição; Modelo funcional; SIMEX; Unequal replication; Unpaired data; Validação de métodos de medição

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

APA (6th Edition):

Oliveira, W. L. d. (2011). Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15092011-085832/ ;

Chicago Manual of Style (16th Edition):

Oliveira, Willian Luís de. “Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas.” 2011. Masters Thesis, University of São Paulo. Accessed August 17, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15092011-085832/ ;.

MLA Handbook (7th Edition):

Oliveira, Willian Luís de. “Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas.” 2011. Web. 17 Aug 2019.

Vancouver:

Oliveira WLd. Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2019 Aug 17]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15092011-085832/ ;.

Council of Science Editors:

Oliveira WLd. Inferência em um modelo com erros de medição heteroscedásticos com observações replicadas. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15092011-085832/ ;

29. Wu, Peiyuan. Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis .

Degree: PhD, 2015, Princeton University

 This dissertation contains both application and theoretical topics in the field of kernel regression and estimation. The first part of this dissertation discusses kernel-based learning… (more)

Subjects/Keywords: cost effectiveness; errors-in-variables; Gauss Markov model; kernel method; minimum mean square error; ridge regression

…Double-Orthogonality in Regression Analysis for Errors-in-Variables Model 76 4.1… …for Errors-in-Variables Models With Stochastic Regression Coefficients… …133 5.4.1 Gauss-Markov Models in Errors-in-Variables Model with Stochastic Regression… …Regression Coefficients . . . . 137 5.5 Linear and Polynomial Regression for Errors-in-Variables… …171 6.2 Kernel Learning Theory under Errors-In-Variables Model . . . . . . . 173 A… 

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

APA (6th Edition):

Wu, P. (2015). Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp010g354h462

Chicago Manual of Style (16th Edition):

Wu, Peiyuan. “Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis .” 2015. Doctoral Dissertation, Princeton University. Accessed August 17, 2019. http://arks.princeton.edu/ark:/88435/dsp010g354h462.

MLA Handbook (7th Edition):

Wu, Peiyuan. “Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis .” 2015. Web. 17 Aug 2019.

Vancouver:

Wu P. Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Aug 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp010g354h462.

Council of Science Editors:

Wu P. Kernel Regression and Estimation: Learning Theory/Application and Errors-in-Variables Model Analysis . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp010g354h462


University of Pretoria

30. Carstens, Herman. A Bayesian approach to energy monitoring optimization.

Degree: PhD, Electrical, Electronic and Computer Engineering, 2018, University of Pretoria

 Hierdie proefskrif ontwikkel metodes waarmee die koste van energiemonitering en verifieëring (M&V) deur Bayesiese statistiek verlaag kan word. M&V bepaal die hoeveelheid besparings wat deur… (more)

Subjects/Keywords: Measurement and Verification; Errors-in-Variables; Longitudinal Sampling; Generalised Linear Model; Simulation Extrapolation; Machine Learning; UCTD

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

APA (6th Edition):

Carstens, H. (2018). A Bayesian approach to energy monitoring optimization. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/63791

Chicago Manual of Style (16th Edition):

Carstens, Herman. “A Bayesian approach to energy monitoring optimization.” 2018. Doctoral Dissertation, University of Pretoria. Accessed August 17, 2019. http://hdl.handle.net/2263/63791.

MLA Handbook (7th Edition):

Carstens, Herman. “A Bayesian approach to energy monitoring optimization.” 2018. Web. 17 Aug 2019.

Vancouver:

Carstens H. A Bayesian approach to energy monitoring optimization. [Internet] [Doctoral dissertation]. University of Pretoria; 2018. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2263/63791.

Council of Science Editors:

Carstens H. A Bayesian approach to energy monitoring optimization. [Doctoral Dissertation]. University of Pretoria; 2018. Available from: http://hdl.handle.net/2263/63791

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