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You searched for subject:(mixed linear models). Showing records 1 – 30 of 142 total matches.

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Bowling Green State University

1. Lee, Yi-Ching. An Approach to Estimation and Selection in Linear Mixed Models with Missing Data.

Degree: PhD, Statistics, 2019, Bowling Green State University

 In the case of analyzing multilevel, correlated, or longitudinal data, linear mixed models are often incorporated. Such models can be thought of an extension of… (more)

Subjects/Keywords: Statistics; linear mixed models; missing data; model slection in linear mixed models; estimation in linear mixed models

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

APA (6th Edition):

Lee, Y. (2019). An Approach to Estimation and Selection in Linear Mixed Models with Missing Data. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562754262770979

Chicago Manual of Style (16th Edition):

Lee, Yi-Ching. “An Approach to Estimation and Selection in Linear Mixed Models with Missing Data.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562754262770979.

MLA Handbook (7th Edition):

Lee, Yi-Ching. “An Approach to Estimation and Selection in Linear Mixed Models with Missing Data.” 2019. Web. 07 Mar 2021.

Vancouver:

Lee Y. An Approach to Estimation and Selection in Linear Mixed Models with Missing Data. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562754262770979.

Council of Science Editors:

Lee Y. An Approach to Estimation and Selection in Linear Mixed Models with Missing Data. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562754262770979


Cornell University

2. Zipunnikov, Vadim. Topics On Generalized Linear Mixed Models.

Degree: 2009, Cornell University

 The expectation-maximization algorithm has been advocated recently by a number of authors for fitting generalized linear mixed models. However, the E-step typically involves analytically intractable… (more)

Subjects/Keywords: Linear Mixed Models

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APA (6th Edition):

Zipunnikov, V. (2009). Topics On Generalized Linear Mixed Models. (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/13992

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):

Zipunnikov, Vadim. “Topics On Generalized Linear Mixed Models.” 2009. Thesis, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/13992.

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

MLA Handbook (7th Edition):

Zipunnikov, Vadim. “Topics On Generalized Linear Mixed Models.” 2009. Web. 07 Mar 2021.

Vancouver:

Zipunnikov V. Topics On Generalized Linear Mixed Models. [Internet] [Thesis]. Cornell University; 2009. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/13992.

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

Council of Science Editors:

Zipunnikov V. Topics On Generalized Linear Mixed Models. [Thesis]. Cornell University; 2009. Available from: http://hdl.handle.net/1813/13992

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


Cornell University

3. Wan, Muting. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.

Degree: PhD, Statistics, 2015, Cornell University

 In recent years, sparse classification problems have emerged in many fields of study. Finite mixture models have been developed to facilitate Bayesian inference where parameter… (more)

Subjects/Keywords: Bayesian inference; Linear mixed models; Bioinformatics

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APA (6th Edition):

Wan, M. (2015). Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39389

Chicago Manual of Style (16th Edition):

Wan, Muting. “Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.” 2015. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/39389.

MLA Handbook (7th Edition):

Wan, Muting. “Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.” 2015. Web. 07 Mar 2021.

Vancouver:

Wan M. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/39389.

Council of Science Editors:

Wan M. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39389


Queen Mary, University of London

4. Hossain, Mohammad Zakir. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.

Degree: PhD, 2017, Queen Mary, University of London

 In a generalized linear mixed model (GLMM), the random effects are typically uncorrelated and assumed to follow a normal distribution. However, findings from recent studies… (more)

Subjects/Keywords: 519.5; Mathematics; generalized linear mixed models

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APA (6th Edition):

Hossain, M. Z. (2017). A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878

Chicago Manual of Style (16th Edition):

Hossain, Mohammad Zakir. “A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.” 2017. Doctoral Dissertation, Queen Mary, University of London. Accessed March 07, 2021. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878.

MLA Handbook (7th Edition):

Hossain, Mohammad Zakir. “A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.” 2017. Web. 07 Mar 2021.

Vancouver:

Hossain MZ. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2017. [cited 2021 Mar 07]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878.

Council of Science Editors:

Hossain MZ. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. [Doctoral Dissertation]. Queen Mary, University of London; 2017. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878


University of KwaZulu-Natal

5. Mchunu, Nobuhle Nokubonga. Modelling CD4 count and Mortality in a cohort of patients initiated on HAART.

Degree: 2018, University of KwaZulu-Natal

 Longitudinally measured data and time-to-event or survival data are often associated in some ways, and are traditionally analyzed separately (Asar et al., 2015). However, separate… (more)

Subjects/Keywords: Joint models.; Survival analysis.; CD4 Count on ART.; Linear mixed models.

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

APA (6th Edition):

Mchunu, N. N. (2018). Modelling CD4 count and Mortality in a cohort of patients initiated on HAART. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16410

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):

Mchunu, Nobuhle Nokubonga. “Modelling CD4 count and Mortality in a cohort of patients initiated on HAART.” 2018. Thesis, University of KwaZulu-Natal. Accessed March 07, 2021. https://researchspace.ukzn.ac.za/handle/10413/16410.

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

MLA Handbook (7th Edition):

Mchunu, Nobuhle Nokubonga. “Modelling CD4 count and Mortality in a cohort of patients initiated on HAART.” 2018. Web. 07 Mar 2021.

Vancouver:

Mchunu NN. Modelling CD4 count and Mortality in a cohort of patients initiated on HAART. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2021 Mar 07]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16410.

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

Council of Science Editors:

Mchunu NN. Modelling CD4 count and Mortality in a cohort of patients initiated on HAART. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/16410

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


University of Technology, Sydney

6. Lee, Yan Liang (Jarod). Conjugate generalized linear mixed models with applications.

Degree: 2017, University of Technology, Sydney

 This thesis focuses on the development of conjugate generalized linear mixed models (CGLMMs), which is a computationally efficient modelling framework for longitudinal and multilevel data… (more)

Subjects/Keywords: Linear mixed models.; Multinomial Regression Models.; Longitudinal method.

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APA (6th Edition):

Lee, Y. L. (. (2017). Conjugate generalized linear mixed models with applications. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/120352

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):

Lee, Yan Liang (Jarod). “Conjugate generalized linear mixed models with applications.” 2017. Thesis, University of Technology, Sydney. Accessed March 07, 2021. http://hdl.handle.net/10453/120352.

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

MLA Handbook (7th Edition):

Lee, Yan Liang (Jarod). “Conjugate generalized linear mixed models with applications.” 2017. Web. 07 Mar 2021.

Vancouver:

Lee YL(. Conjugate generalized linear mixed models with applications. [Internet] [Thesis]. University of Technology, Sydney; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10453/120352.

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

Council of Science Editors:

Lee YL(. Conjugate generalized linear mixed models with applications. [Thesis]. University of Technology, Sydney; 2017. Available from: http://hdl.handle.net/10453/120352

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


Bowling Green State University

7. Atutey, Olivia Abena. Linear Mixed Model Selection via Minimum Approximated Information Criterion.

Degree: PhD, Statistics, 2020, Bowling Green State University

 The analyses of correlated, repeated measures, or multilevel data with a Gaussian response are often based on models known as the linear mixed models (LMMs).… (more)

Subjects/Keywords: Statistics; linear mixed models; variable selection and estimation in linear mixed models; non-convex optimization; approximated information criterion

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APA (6th Edition):

Atutey, O. A. (2020). Linear Mixed Model Selection via Minimum Approximated Information Criterion. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966

Chicago Manual of Style (16th Edition):

Atutey, Olivia Abena. “Linear Mixed Model Selection via Minimum Approximated Information Criterion.” 2020. Doctoral Dissertation, Bowling Green State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966.

MLA Handbook (7th Edition):

Atutey, Olivia Abena. “Linear Mixed Model Selection via Minimum Approximated Information Criterion.” 2020. Web. 07 Mar 2021.

Vancouver:

Atutey OA. Linear Mixed Model Selection via Minimum Approximated Information Criterion. [Internet] [Doctoral dissertation]. Bowling Green State University; 2020. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966.

Council of Science Editors:

Atutey OA. Linear Mixed Model Selection via Minimum Approximated Information Criterion. [Doctoral Dissertation]. Bowling Green State University; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966


Penn State University

8. Sheen, Emily Marie. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.

Degree: 2019, Penn State University

 This thesis presents several methods for analyzing longitudinal clinical trial data, and applies the methods in a data analysis of the INSIGHT study. Chapter 1… (more)

Subjects/Keywords: generalized linear mixed models; statistics; biostatistics; microbiome; INSIGHT; mixed effects random forest

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

APA (6th Edition):

Sheen, E. M. (2019). An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16923ems424

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):

Sheen, Emily Marie. “An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.” 2019. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/16923ems424.

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

MLA Handbook (7th Edition):

Sheen, Emily Marie. “An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.” 2019. Web. 07 Mar 2021.

Vancouver:

Sheen EM. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/16923ems424.

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

Council of Science Editors:

Sheen EM. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16923ems424

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


University of Georgia

9. Calegario, Natalino. Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models.

Degree: 2014, University of Georgia

 Single and multilevel linear and nonlinear mixed-effects model approaches were applied to model Eucalyptus stand growth. Most of the data set had a longitudinal, unequally… (more)

Subjects/Keywords: Eucalyptus; Linear mixed-effects models; Nonlinear mixed-effects models; Multilevel models; Longitudinal data; Heteroscedasticity; Individual tree volume estimation; Taper function

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APA (6th Edition):

Calegario, N. (2014). Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/20509

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):

Calegario, Natalino. “Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models.” 2014. Thesis, University of Georgia. Accessed March 07, 2021. http://hdl.handle.net/10724/20509.

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

MLA Handbook (7th Edition):

Calegario, Natalino. “Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models.” 2014. Web. 07 Mar 2021.

Vancouver:

Calegario N. Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10724/20509.

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

Council of Science Editors:

Calegario N. Modeling Eucalyptus stand growth based on linear and nonlinear mixed-effects models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/20509

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


Vanderbilt University

10. Hall, Jacob B. The genetics of age-related macular degeneration: exploring pathway and epistatic effects.

Degree: PhD, Human Genetics, 2016, Vanderbilt University

 Age-related macular degeneration (AMD) is a neurodegenerative disease that leads to a loss of central vision and is the leading cause of blindness in the… (more)

Subjects/Keywords: mixed linear models; macular degeneration; heritability; genetics; interactions; epistasis

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APA (6th Edition):

Hall, J. B. (2016). The genetics of age-related macular degeneration: exploring pathway and epistatic effects. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11621

Chicago Manual of Style (16th Edition):

Hall, Jacob B. “The genetics of age-related macular degeneration: exploring pathway and epistatic effects.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/11621.

MLA Handbook (7th Edition):

Hall, Jacob B. “The genetics of age-related macular degeneration: exploring pathway and epistatic effects.” 2016. Web. 07 Mar 2021.

Vancouver:

Hall JB. The genetics of age-related macular degeneration: exploring pathway and epistatic effects. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/11621.

Council of Science Editors:

Hall JB. The genetics of age-related macular degeneration: exploring pathway and epistatic effects. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/11621


University of Wollongong

11. Samart, Klairung. Analysis of probabilistically linked data.

Degree: PhD, 2011, University of Wollongong

  Probabilistic matching of records from different data sets is often used to create linked data sets for use in research in health, epidemiology, economics,… (more)

Subjects/Keywords: variance components; estimation linked data; measurement error; linear mixed models

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APA (6th Edition):

Samart, K. (2011). Analysis of probabilistically linked data. (Doctoral Dissertation). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/3513

Chicago Manual of Style (16th Edition):

Samart, Klairung. “Analysis of probabilistically linked data.” 2011. Doctoral Dissertation, University of Wollongong. Accessed March 07, 2021. ; https://ro.uow.edu.au/theses/3513.

MLA Handbook (7th Edition):

Samart, Klairung. “Analysis of probabilistically linked data.” 2011. Web. 07 Mar 2021.

Vancouver:

Samart K. Analysis of probabilistically linked data. [Internet] [Doctoral dissertation]. University of Wollongong; 2011. [cited 2021 Mar 07]. Available from: ; https://ro.uow.edu.au/theses/3513.

Council of Science Editors:

Samart K. Analysis of probabilistically linked data. [Doctoral Dissertation]. University of Wollongong; 2011. Available from: ; https://ro.uow.edu.au/theses/3513


Kwame Nkrumah University of Science and Technology

12. Kwabi, Emmanuel. Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST).

Degree: 2012, Kwame Nkrumah University of Science and Technology

The purpose of the study is to assess the academic performance of CEMBA students at the Accra and Kumasi centres of institute of distance learning,… (more)

Subjects/Keywords: Linear mixed effect models; SWA; SAS; Academic performance

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

APA (6th Edition):

Kwabi, E. (2012). Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST). (Thesis). Kwame Nkrumah University of Science and Technology. Retrieved from http://dspace.knust.edu.gh:8080/jspui/handle/123456789/4099

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):

Kwabi, Emmanuel. “Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST).” 2012. Thesis, Kwame Nkrumah University of Science and Technology. Accessed March 07, 2021. http://dspace.knust.edu.gh:8080/jspui/handle/123456789/4099.

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

MLA Handbook (7th Edition):

Kwabi, Emmanuel. “Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST).” 2012. Web. 07 Mar 2021.

Vancouver:

Kwabi E. Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST). [Internet] [Thesis]. Kwame Nkrumah University of Science and Technology; 2012. [cited 2021 Mar 07]. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/4099.

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

Council of Science Editors:

Kwabi E. Longitudinal Data Analysis of the Academic Performance of CEMBA Students; Case Study; Accra, Kumasi-IDL (KNUST). [Thesis]. Kwame Nkrumah University of Science and Technology; 2012. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/4099

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


Boston University

13. McIntosh, Avery Isaac. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.

Degree: PhD, Biostatistics, 2017, Boston University

 Understanding tuberculosis transmission is vital for efforts at interrupting the spread of disease. Household contact studies that follow persons sharing a household with a TB… (more)

Subjects/Keywords: Biostatistics; Bayesian mixed effects; Generalized linear model; Hierarchical models; Infection; Tuberculosis

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

APA (6th Edition):

McIntosh, A. I. (2017). Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/22451

Chicago Manual of Style (16th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Doctoral Dissertation, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/22451.

MLA Handbook (7th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Web. 07 Mar 2021.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/22451.

Council of Science Editors:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/22451


University of Kansas

14. Kinai, Richard. Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models.

Degree: MA, Psychology, 2015, University of Kansas

 Optimal designs are a class of experimental designs that are efficient with respect to some statistical criterion. Two types of optimal designs are considered in… (more)

Subjects/Keywords: Psychology; Ds-optimal designs; efficiency loss; linear mixed models; missing observations

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APA (6th Edition):

Kinai, R. (2015). Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/21691

Chicago Manual of Style (16th Edition):

Kinai, Richard. “Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models.” 2015. Masters Thesis, University of Kansas. Accessed March 07, 2021. http://hdl.handle.net/1808/21691.

MLA Handbook (7th Edition):

Kinai, Richard. “Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models.” 2015. Web. 07 Mar 2021.

Vancouver:

Kinai R. Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models. [Internet] [Masters thesis]. University of Kansas; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1808/21691.

Council of Science Editors:

Kinai R. Effect of Dropout on the Efficiency of Ds - Optimal Designs for Linear Mixed Models. [Masters Thesis]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/21691


Bowling Green State University

15. Pan, Juming. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.

Degree: PhD, Statistics, 2016, Bowling Green State University

Linear mixed models describe the relationship between a response variable and some predictors for data that are grouped according to one or more clustering factors.… (more)

Subjects/Keywords: Statistics; model selection; linear mixed models; oracle properties

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APA (6th Edition):

Pan, J. (2016). Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921

Chicago Manual of Style (16th Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Doctoral Dissertation, Bowling Green State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

MLA Handbook (7th Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Web. 07 Mar 2021.

Vancouver:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Internet] [Doctoral dissertation]. Bowling Green State University; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

Council of Science Editors:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Doctoral Dissertation]. Bowling Green State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921


University of KwaZulu-Natal

16. Ogunsakin, Ropo Ebenezer. Bayesian generalized linear mixed modeling of breast cancer data in Nigeria.

Degree: 2017, University of KwaZulu-Natal

 Breast cancer is the world’s most prevalent type of cancer among women. Statistics indicate that breast cancer alone accounted for 37% out of all the… (more)

Subjects/Keywords: Breast cancer in Nigeria.; Bayesian models.; Linear mixed models.; Cancer data.; Breast cancer.

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APA (6th Edition):

Ogunsakin, R. E. (2017). Bayesian generalized linear mixed modeling of breast cancer data in Nigeria. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15650

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):

Ogunsakin, Ropo Ebenezer. “Bayesian generalized linear mixed modeling of breast cancer data in Nigeria.” 2017. Thesis, University of KwaZulu-Natal. Accessed March 07, 2021. http://hdl.handle.net/10413/15650.

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

MLA Handbook (7th Edition):

Ogunsakin, Ropo Ebenezer. “Bayesian generalized linear mixed modeling of breast cancer data in Nigeria.” 2017. Web. 07 Mar 2021.

Vancouver:

Ogunsakin RE. Bayesian generalized linear mixed modeling of breast cancer data in Nigeria. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10413/15650.

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

Council of Science Editors:

Ogunsakin RE. Bayesian generalized linear mixed modeling of breast cancer data in Nigeria. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15650

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


Baylor University

17. Watson, Sydeaka P. Poisson regression models for interval censored count data.

Degree: PhD, Statistical Sciences., 2011, Baylor University

 In this dissertation, we develop Bayesian models for interval censored Poisson counts in the presence of zero inflation and missing data. As a motivating example,… (more)

Subjects/Keywords: Poisson regression.; Bayesian models.; Interval censored data.; Generalized linear mixed models.; HIV vaccine.

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APA (6th Edition):

Watson, S. P. (2011). Poisson regression models for interval censored count data. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/8176

Chicago Manual of Style (16th Edition):

Watson, Sydeaka P. “Poisson regression models for interval censored count data.” 2011. Doctoral Dissertation, Baylor University. Accessed March 07, 2021. http://hdl.handle.net/2104/8176.

MLA Handbook (7th Edition):

Watson, Sydeaka P. “Poisson regression models for interval censored count data.” 2011. Web. 07 Mar 2021.

Vancouver:

Watson SP. Poisson regression models for interval censored count data. [Internet] [Doctoral dissertation]. Baylor University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2104/8176.

Council of Science Editors:

Watson SP. Poisson regression models for interval censored count data. [Doctoral Dissertation]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8176


University of Washington

18. Lin, Lina. Methods for estimation and inference for high-dimensional models.

Degree: PhD, 2018, University of Washington

 This thesis tackles three different problems in high-dimensional statistics. The first two parts of the thesis focus on estimation of sparse high-dimensional undirected graphical models(more)

Subjects/Keywords: Graphical models; High-dimensional statistics; Linear mixed effect models; Regularization; Statistics; Statistics

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APA (6th Edition):

Lin, L. (2018). Methods for estimation and inference for high-dimensional models. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40975

Chicago Manual of Style (16th Edition):

Lin, Lina. “Methods for estimation and inference for high-dimensional models.” 2018. Doctoral Dissertation, University of Washington. Accessed March 07, 2021. http://hdl.handle.net/1773/40975.

MLA Handbook (7th Edition):

Lin, Lina. “Methods for estimation and inference for high-dimensional models.” 2018. Web. 07 Mar 2021.

Vancouver:

Lin L. Methods for estimation and inference for high-dimensional models. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1773/40975.

Council of Science Editors:

Lin L. Methods for estimation and inference for high-dimensional models. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/40975


University of Georgia

19. wang, lihua. Parameter estimation for mixtures of generalized linear mixed-effects models.

Degree: 2014, University of Georgia

 Finite mixtures of simpler component models such as mixtures of normals and mixtures of generalized linear models (GLM) have proven useful for modelling data arising… (more)

Subjects/Keywords: Mixture models; Generalized linear mixed effect models; Maximum likelihood estimation; Zero-inflated models; Restricted maximum likelihood estimation

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APA (6th Edition):

wang, l. (2014). Parameter estimation for mixtures of generalized linear mixed-effects models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/21713

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, lihua. “Parameter estimation for mixtures of generalized linear mixed-effects models.” 2014. Thesis, University of Georgia. Accessed March 07, 2021. http://hdl.handle.net/10724/21713.

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

MLA Handbook (7th Edition):

wang, lihua. “Parameter estimation for mixtures of generalized linear mixed-effects models.” 2014. Web. 07 Mar 2021.

Vancouver:

wang l. Parameter estimation for mixtures of generalized linear mixed-effects models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10724/21713.

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

Council of Science Editors:

wang l. Parameter estimation for mixtures of generalized linear mixed-effects models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/21713

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


Penn State University

20. Yoo, Mina. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .

Degree: 2011, Penn State University

 This dissertation is concerned with assessment of measurement agreement for intensive longitudinal data. Assessment of the measurement agreement encompasses a variety of applications. A number… (more)

Subjects/Keywords: concordance correlation coefficient; varying coefficient models; partially linear models; mixed effects models; measurement agreement; intensive longitudinal data

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APA (6th Edition):

Yoo, M. (2011). MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12131

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):

Yoo, Mina. “MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .” 2011. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/12131.

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

MLA Handbook (7th Edition):

Yoo, Mina. “MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .” 2011. Web. 07 Mar 2021.

Vancouver:

Yoo M. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/12131.

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

Council of Science Editors:

Yoo M. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12131

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


University of Rochester

21. Xia, Changming; Liang, Hua. Generalized Semiparametric Linear Mixed-effects Models.

Degree: PhD, 2015, University of Rochester

 This dissertation proposes a novel method to compare tumor growth patterns and evaluates treatment effects using semiparametric linear mixed-effects (SLME) model, which allows a flexible… (more)

Subjects/Keywords: Mixed-effects; Generalized Linear Models; Semiparametric Regression; Generalized Maximum Likelihood; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Xia, Changming; Liang, H. (2015). Generalized Semiparametric Linear Mixed-effects Models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30126

Chicago Manual of Style (16th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Doctoral Dissertation, University of Rochester. Accessed March 07, 2021. http://hdl.handle.net/1802/30126.

MLA Handbook (7th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 07 Mar 2021.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1802/30126.

Council of Science Editors:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30126


Wichita State University

22. Kookhahi, Elham . Distribution planning with slective traveling salesman and vehicle routing problems .

Degree: 2016, Wichita State University

 This dissertation introduces a new class of selective traveling salesman problem (TSP) and vehicle routing problem (VRP) in which the goal is to maximize the… (more)

Subjects/Keywords: Traveling salesman problem; Vehicle routing problem; Mixed-integer linear mathematical models; Metaheuristic method

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APA (6th Edition):

Kookhahi, E. (2016). Distribution planning with slective traveling salesman and vehicle routing problems . (Doctoral Dissertation). Wichita State University. Retrieved from http://hdl.handle.net/10057/13512

Chicago Manual of Style (16th Edition):

Kookhahi, Elham . “Distribution planning with slective traveling salesman and vehicle routing problems .” 2016. Doctoral Dissertation, Wichita State University. Accessed March 07, 2021. http://hdl.handle.net/10057/13512.

MLA Handbook (7th Edition):

Kookhahi, Elham . “Distribution planning with slective traveling salesman and vehicle routing problems .” 2016. Web. 07 Mar 2021.

Vancouver:

Kookhahi E. Distribution planning with slective traveling salesman and vehicle routing problems . [Internet] [Doctoral dissertation]. Wichita State University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10057/13512.

Council of Science Editors:

Kookhahi E. Distribution planning with slective traveling salesman and vehicle routing problems . [Doctoral Dissertation]. Wichita State University; 2016. Available from: http://hdl.handle.net/10057/13512


University of Victoria

23. Rabe, Maximilian Michael. Generalized linear mixed modeling of signal detection theory.

Degree: Department of Psychology, 2018, University of Victoria

 Signal Detection Theory (SDT; Green & Swets, 1966) is a well-established technique to analyze accuracy data in a number of experimental paradigms in psychology, most… (more)

Subjects/Keywords: methodology; cognitive psychology; recognition memory; signal detection theory; generalized linear mixed models; statistics

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APA (6th Edition):

Rabe, M. M. (2018). Generalized linear mixed modeling of signal detection theory. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/9208

Chicago Manual of Style (16th Edition):

Rabe, Maximilian Michael. “Generalized linear mixed modeling of signal detection theory.” 2018. Masters Thesis, University of Victoria. Accessed March 07, 2021. https://dspace.library.uvic.ca//handle/1828/9208.

MLA Handbook (7th Edition):

Rabe, Maximilian Michael. “Generalized linear mixed modeling of signal detection theory.” 2018. Web. 07 Mar 2021.

Vancouver:

Rabe MM. Generalized linear mixed modeling of signal detection theory. [Internet] [Masters thesis]. University of Victoria; 2018. [cited 2021 Mar 07]. Available from: https://dspace.library.uvic.ca//handle/1828/9208.

Council of Science Editors:

Rabe MM. Generalized linear mixed modeling of signal detection theory. [Masters Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/9208


Georgia State University

24. Jacques, Nerline. Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study.

Degree: MPH, Public Health, 2017, Georgia State University

  As life expectancy is increasing, the prevalence of Alzheimer's disease (AD) is expected to escalate. However, there are still no specific markers to confirm… (more)

Subjects/Keywords: Family History; Alzheimer's Disease; Glucose Metabolism (FDG-PET); Longitudinal Study; Generalized linear mixed-effects models.

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APA (6th Edition):

Jacques, N. (2017). Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/iph_theses/544

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):

Jacques, Nerline. “Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study.” 2017. Thesis, Georgia State University. Accessed March 07, 2021. https://scholarworks.gsu.edu/iph_theses/544.

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

MLA Handbook (7th Edition):

Jacques, Nerline. “Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study.” 2017. Web. 07 Mar 2021.

Vancouver:

Jacques N. Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study. [Internet] [Thesis]. Georgia State University; 2017. [cited 2021 Mar 07]. Available from: https://scholarworks.gsu.edu/iph_theses/544.

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

Council of Science Editors:

Jacques N. Effects of Family History of Alzheimer's Disease on Glucose Metabolism (FDG-PET) among Mild Cognitive Impaired Patients: a Longitudinal Study. [Thesis]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/iph_theses/544

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


Purdue University

25. Choi, Meena. A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments.

Degree: PhD, Statistics, 2016, Purdue University

  Quantitative mass spectrometry (MS)-based proteomics is an indispensable technology for biological and clinical research. As the proteomics field grows, MS-based proteomic workflows are becoming… (more)

Subjects/Keywords: Pure sciences; Linear mixed effects models; Proteomics; Quantitative mass spectrometry; Statistics and Probability

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APA (6th Edition):

Choi, M. (2016). A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/636

Chicago Manual of Style (16th Edition):

Choi, Meena. “A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments.” 2016. Doctoral Dissertation, Purdue University. Accessed March 07, 2021. https://docs.lib.purdue.edu/open_access_dissertations/636.

MLA Handbook (7th Edition):

Choi, Meena. “A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments.” 2016. Web. 07 Mar 2021.

Vancouver:

Choi M. A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2021 Mar 07]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/636.

Council of Science Editors:

Choi M. A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/636


The Ohio State University

26. Radcliffe, Don C. Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio.

Degree: MS, Environment and Natural Resources, 2019, The Ohio State University

 Oak (Quercus spp.) and hickory (Carya spp.) trees are failing to replace themselves in forests of the eastern U.S., likely due to fire suppression and… (more)

Subjects/Keywords: Ecology; Forestry; Environmental Science; forest ecology, oak, maple, beech, hickory, mesophication, generalized linear mixed models

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APA (6th Edition):

Radcliffe, D. C. (2019). Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555601221988432

Chicago Manual of Style (16th Edition):

Radcliffe, Don C. “Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio.” 2019. Masters Thesis, The Ohio State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555601221988432.

MLA Handbook (7th Edition):

Radcliffe, Don C. “Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio.” 2019. Web. 07 Mar 2021.

Vancouver:

Radcliffe DC. Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555601221988432.

Council of Science Editors:

Radcliffe DC. Topographic, edaphic, and stand structural factors associated with oak and hickory mortality and maple and beech regeneration in mature forests of Appalachian Ohio. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555601221988432


University of Cincinnati

27. Palaparambil Dinesh, Lakshmi. Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector.

Degree: PhD, Business: Business Administration, 2017, University of Cincinnati

 In the electric utility industry, it could be challenging to adjust supply to match demand due to large generator ramp up times, high generation costs… (more)

Subjects/Keywords: Operations Research; Demand Response; Computable General Equilibrium Models; Mixed Integer Linear Programming

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APA (6th Edition):

Palaparambil Dinesh, L. (2017). Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860511116905

Chicago Manual of Style (16th Edition):

Palaparambil Dinesh, Lakshmi. “Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector.” 2017. Doctoral Dissertation, University of Cincinnati. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860511116905.

MLA Handbook (7th Edition):

Palaparambil Dinesh, Lakshmi. “Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector.” 2017. Web. 07 Mar 2021.

Vancouver:

Palaparambil Dinesh L. Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector. [Internet] [Doctoral dissertation]. University of Cincinnati; 2017. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860511116905.

Council of Science Editors:

Palaparambil Dinesh L. Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector. [Doctoral Dissertation]. University of Cincinnati; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860511116905


University of Louisville

28. Jang, Hyejeong. Mixed-effects models for modeling cardiac functions and treatment effects.

Degree: MS, 2011, University of Louisville

Mixed-effects model is an efficient tool for analyzing longitudinal data. The random effects in mixed-effects model can be used to capture the correlations among… (more)

Subjects/Keywords: Linear mixed-effects model; Nonlinear mixed-effects models; Cardiac function; Ischemia/reperfusion injury; Change point model; Heart rate

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APA (6th Edition):

Jang, H. (2011). Mixed-effects models for modeling cardiac functions and treatment effects. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/679 ; https://ir.library.louisville.edu/etd/679

Chicago Manual of Style (16th Edition):

Jang, Hyejeong. “Mixed-effects models for modeling cardiac functions and treatment effects.” 2011. Masters Thesis, University of Louisville. Accessed March 07, 2021. 10.18297/etd/679 ; https://ir.library.louisville.edu/etd/679.

MLA Handbook (7th Edition):

Jang, Hyejeong. “Mixed-effects models for modeling cardiac functions and treatment effects.” 2011. Web. 07 Mar 2021.

Vancouver:

Jang H. Mixed-effects models for modeling cardiac functions and treatment effects. [Internet] [Masters thesis]. University of Louisville; 2011. [cited 2021 Mar 07]. Available from: 10.18297/etd/679 ; https://ir.library.louisville.edu/etd/679.

Council of Science Editors:

Jang H. Mixed-effects models for modeling cardiac functions and treatment effects. [Masters Thesis]. University of Louisville; 2011. Available from: 10.18297/etd/679 ; https://ir.library.louisville.edu/etd/679

29. Kurusu, Ricardo Salles. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.

Degree: Mestrado, Estatística, 2013, University of São Paulo

Dentre as possíveis propostas encontradas na literatura estatística para analisar dados oriundos de estudos com observações correlacionadas, estão os modelos condicionais e os modelos marginais.… (more)

Subjects/Keywords: conditional models; diagnostic techniques; equações de estimação generalizadas; generalized estimating equations; generalized linear mixed models; hierarchical generalized linear models; linear mixed models; marginal models; medidas repetidas; modelos condicionais; modelos lineares generalizados hierárquicos; modelos lineares generalizados mistos; modelos lineares mistos; modelos marginais; repeated measures; técnicas de diagnóstico

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APA (6th Edition):

Kurusu, R. S. (2013). Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;

Chicago Manual of Style (16th Edition):

Kurusu, Ricardo Salles. “Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.” 2013. Masters Thesis, University of São Paulo. Accessed March 07, 2021. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;.

MLA Handbook (7th Edition):

Kurusu, Ricardo Salles. “Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.” 2013. Web. 07 Mar 2021.

Vancouver:

Kurusu RS. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2021 Mar 07]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;.

Council of Science Editors:

Kurusu RS. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;


Rice University

30. Narayan, Manjari. Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics.

Degree: PhD, Engineering, 2016, Rice University

 In many neuroimaging modalities, scientists observe neural activity at distinct units of brain function but seek to study and manipulate functional connectivity or unobserved latent… (more)

Subjects/Keywords: graphical models; markov networks; edge testing; covariate testing; two-level models; functional connectivity; neuroimaging; fMRI; connectomics; mixed effects; random effects; linear mixed effects models; resampling

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APA (6th Edition):

Narayan, M. (2016). Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/95213

Chicago Manual of Style (16th Edition):

Narayan, Manjari. “Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics.” 2016. Doctoral Dissertation, Rice University. Accessed March 07, 2021. http://hdl.handle.net/1911/95213.

MLA Handbook (7th Edition):

Narayan, Manjari. “Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics.” 2016. Web. 07 Mar 2021.

Vancouver:

Narayan M. Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics. [Internet] [Doctoral dissertation]. Rice University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1911/95213.

Council of Science Editors:

Narayan M. Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics. [Doctoral Dissertation]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95213

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