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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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/437210/rec/7621

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.montana.edu/xmlui/handle/1/9867

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/2097/12206

► 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)

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.theses.fr/2012BOR14655

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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-

Degree: 2013, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/135862

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://era.library.ualberta.ca/files/ccf95jb53m

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/38660

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.7916/D8CG165C

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/2097/39089

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 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

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124153

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/66v6d88v

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/11394/2509

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://ufdc.ufl.edu/UFE0044478

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/15157

► 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)

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0041954

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0041142

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://contentdm.mhsl.uab.edu/u?/etd,1335

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1805/7938 ; http://dx.doi.org/10.7912/C2GW2H

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

IUPUI

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

Degree: 2015, IUPUI

URL: http://hdl.handle.net/1805/7938

►

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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://www.theses.fr/2013BOR15244

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://contentdm.mhsl.uab.edu/u?/etd,1463

►

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)

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.theses.fr/2010BOR14157

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1887/52560

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/58968

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1808/26026

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360963

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15092011-085832/ ;

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://arks.princeton.edu/ark:/88435/dsp010g354h462

► 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…

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2263/63791

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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