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You searched for subject:(Linear mixed model). Showing records 1 – 30 of 172 total matches.

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Colorado State University

1. Branan, Matthew. Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances.

Degree: MS(M.S.), Statistics, 2015, Colorado State University

 We investigate several questions regarding the proposition that physical body size and one's image of their own body type affect the ability to make accurate… (more)

Subjects/Keywords: Linear Mixed Model; Robust Linear Mixed Model; Generalized R Squared; Self-Perception; Model Averaging

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

APA (6th Edition):

Branan, M. (2015). Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166945

Chicago Manual of Style (16th Edition):

Branan, Matthew. “Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances.” 2015. Masters Thesis, Colorado State University. Accessed August 24, 2019. http://hdl.handle.net/10217/166945.

MLA Handbook (7th Edition):

Branan, Matthew. “Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances.” 2015. Web. 24 Aug 2019.

Vancouver:

Branan M. Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10217/166945.

Council of Science Editors:

Branan M. Impact of Actual and Self-Perceived Body Type on Visual Perception of Distances. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166945


University of Cambridge

2. Casale, Francesco Paolo. Multivariate linear mixed models for statistical genetics .

Degree: 2016, University of Cambridge

 In the last decade, genome-wide association studies have helped to advance our understanding of the genetic architecture of many important traits, including diseases. However, the… (more)

Subjects/Keywords: linear mixed model; statistical genetics; GWAS; multivariate

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APA (6th Edition):

Casale, F. P. (2016). Multivariate linear mixed models for statistical genetics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267465

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):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics .” 2016. Thesis, University of Cambridge. Accessed August 24, 2019. https://www.repository.cam.ac.uk/handle/1810/267465.

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

MLA Handbook (7th Edition):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics .” 2016. Web. 24 Aug 2019.

Vancouver:

Casale FP. Multivariate linear mixed models for statistical genetics . [Internet] [Thesis]. University of Cambridge; 2016. [cited 2019 Aug 24]. Available from: https://www.repository.cam.ac.uk/handle/1810/267465.

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

Council of Science Editors:

Casale FP. Multivariate linear mixed models for statistical genetics . [Thesis]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/267465

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


Bowling Green State University

3. 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 (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 August 24, 2019. 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. 24 Aug 2019.

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 2019 Aug 24]. 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


University of Kansas

4. Staggs, Vincent. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.

Degree: PhD, Psychology, 2009, University of Kansas

 In mixed models, empirical best linear unbiased estimators of fixed effects generally have mean square errors (MSEs) that cannot be written in closed form. Standard… (more)

Subjects/Keywords: Psychology; Psychometrics; Statistics; Bootstrap; Hierarchical linear model; Mixed model; Multilevel model

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APA (6th Edition):

Staggs, V. (2009). Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5513

Chicago Manual of Style (16th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Doctoral Dissertation, University of Kansas. Accessed August 24, 2019. http://hdl.handle.net/1808/5513.

MLA Handbook (7th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Web. 24 Aug 2019.

Vancouver:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1808/5513.

Council of Science Editors:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5513


Rice University

5. Joshi, Babhru. A Convex Algorithm for Mixed Linear Regression.

Degree: MA, Engineering, 2017, Rice University

Mixed linear regression is a high dimensional affine space clustering problem where the goal is to find the parameters of multiple affine spaces that best… (more)

Subjects/Keywords: mixed linear regression; mixed regression; mixture model; fused lasso

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APA (6th Edition):

Joshi, B. (2017). A Convex Algorithm for Mixed Linear Regression. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/95962

Chicago Manual of Style (16th Edition):

Joshi, Babhru. “A Convex Algorithm for Mixed Linear Regression.” 2017. Masters Thesis, Rice University. Accessed August 24, 2019. http://hdl.handle.net/1911/95962.

MLA Handbook (7th Edition):

Joshi, Babhru. “A Convex Algorithm for Mixed Linear Regression.” 2017. Web. 24 Aug 2019.

Vancouver:

Joshi B. A Convex Algorithm for Mixed Linear Regression. [Internet] [Masters thesis]. Rice University; 2017. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1911/95962.

Council of Science Editors:

Joshi B. A Convex Algorithm for Mixed Linear Regression. [Masters Thesis]. Rice University; 2017. Available from: http://hdl.handle.net/1911/95962


Virginia Tech

6. Chen, Jinsong. Semiparametric Methods for the Generalized Linear Model.

Degree: PhD, Statistics, 2010, Virginia Tech

 The generalized linear model (GLM) is a popular model in many research areas. In the GLM, each outcome of the dependent variable is assumed to… (more)

Subjects/Keywords: Penalized splines; Generalized linear mixed model; Generalized linear model; Single-Index Model

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APA (6th Edition):

Chen, J. (2010). Semiparametric Methods for the Generalized Linear Model. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28012

Chicago Manual of Style (16th Edition):

Chen, Jinsong. “Semiparametric Methods for the Generalized Linear Model.” 2010. Doctoral Dissertation, Virginia Tech. Accessed August 24, 2019. http://hdl.handle.net/10919/28012.

MLA Handbook (7th Edition):

Chen, Jinsong. “Semiparametric Methods for the Generalized Linear Model.” 2010. Web. 24 Aug 2019.

Vancouver:

Chen J. Semiparametric Methods for the Generalized Linear Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10919/28012.

Council of Science Editors:

Chen J. Semiparametric Methods for the Generalized Linear Model. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28012


Temple University

7. Stone, Elizabeth Anne. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.

Degree: PhD, 2013, Temple University

Statistics

This dissertation focuses on estimation and selection methods for a simple linear model with two levels of variation. This model provides a foundation for… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Stone, E. A. (2013). Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,234414

Chicago Manual of Style (16th Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Doctoral Dissertation, Temple University. Accessed August 24, 2019. http://digital.library.temple.edu/u?/p245801coll10,234414.

MLA Handbook (7th Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Web. 24 Aug 2019.

Vancouver:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2019 Aug 24]. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414.

Council of Science Editors:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414


Addis Ababa University

8. Yabebal, Ayalew. COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach .

Degree: 2012, Addis Ababa University

 Abstract The term simulation has been used in a number of scientific disciplines. Agriculture is one of scientific disciplines in which simulation technique has been… (more)

Subjects/Keywords: Monte Carlo,; bootstrap; simulation; model; linear mixed model,; milk yield.

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APA (6th Edition):

Yabebal, A. (2012). COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/190

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):

Yabebal, Ayalew. “COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach .” 2012. Thesis, Addis Ababa University. Accessed August 24, 2019. http://etd.aau.edu.et/dspace/handle/123456789/190.

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

MLA Handbook (7th Edition):

Yabebal, Ayalew. “COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach .” 2012. Web. 24 Aug 2019.

Vancouver:

Yabebal A. COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2019 Aug 24]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/190.

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

Council of Science Editors:

Yabebal A. COMPARISON OF SIMULATION TECHNIQUES BASED ON MILK YIELD DATA A Linear Mixed Model Approach . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/190

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


Uppsala University

9. Zhang, Liming. Limit Values and Factors influencing Limit Values of Spruce.

Degree: Statistics, 2011, Uppsala University

  We collected the data for decomposition of spruce litter to determine the limit values of mass loss and to find both chemical and climate… (more)

Subjects/Keywords: Limit Values; Litter decomposition; Nonlinear model; Linear mixed model

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APA (6th Edition):

Zhang, L. (2011). Limit Values and Factors influencing Limit Values of Spruce. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155062

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):

Zhang, Liming. “Limit Values and Factors influencing Limit Values of Spruce.” 2011. Thesis, Uppsala University. Accessed August 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155062.

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

MLA Handbook (7th Edition):

Zhang, Liming. “Limit Values and Factors influencing Limit Values of Spruce.” 2011. Web. 24 Aug 2019.

Vancouver:

Zhang L. Limit Values and Factors influencing Limit Values of Spruce. [Internet] [Thesis]. Uppsala University; 2011. [cited 2019 Aug 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155062.

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

Council of Science Editors:

Zhang L. Limit Values and Factors influencing Limit Values of Spruce. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155062

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


University of Minnesota

10. Ryoo, Ji Hoon. Model selection with the linear mixed effects model for longitudinal data.

Degree: Educational Psychology, 2010, University of Minnesota

Model building or model selection with linear mixed models (LMM) is complicated by the presence of both fixed effects and random effects. The fixed effects… (more)

Subjects/Keywords: Linear Mixed Effects Model; Longitudinal Data; Model Selection; Educational Psychology

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APA (6th Edition):

Ryoo, J. H. (2010). Model selection with the linear mixed effects model for longitudinal data. (Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/94155

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):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Thesis, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/94155.

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

MLA Handbook (7th Edition):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Web. 24 Aug 2019.

Vancouver:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Internet] [Thesis]. University of Minnesota; 2010. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/94155.

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

Council of Science Editors:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/94155

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


Bowling Green State University

11. Yousef, Mohammed A. Two-Stage SCAD Lasso for Linear Mixed Model Selection.

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

Linear regression model is the classical approach to explain the relationship between the response variable (dependent) and predictors (independent). However, when the number of predictors… (more)

Subjects/Keywords: Statistics; Mixed model selection; SCAD Lasso; Linear mixed model; Penalized model selection; two-stage model selection

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APA (6th Edition):

Yousef, M. A. (2019). Two-Stage SCAD Lasso for Linear Mixed Model Selection. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

Chicago Manual of Style (16th Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

MLA Handbook (7th Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Web. 24 Aug 2019.

Vancouver:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

Council of Science Editors:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879


NSYSU

12. Chung, Yu-Che. Classification and Survival Analysis in Ovarian Cancer Study.

Degree: Master, Applied Mathematics, 2013, NSYSU

 The aim of this thesis is to use statistical methods to analyze data in ovarian cancer study. The first part of the thesis is to… (more)

Subjects/Keywords: Cox proportional hazard model; Tumor marker; Logistic regression; Linear mixed-effect model; Joint model

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APA (6th Edition):

Chung, Y. (2013). Classification and Survival Analysis in Ovarian Cancer Study. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-212518

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):

Chung, Yu-Che. “Classification and Survival Analysis in Ovarian Cancer Study.” 2013. Thesis, NSYSU. Accessed August 24, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-212518.

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

MLA Handbook (7th Edition):

Chung, Yu-Che. “Classification and Survival Analysis in Ovarian Cancer Study.” 2013. Web. 24 Aug 2019.

Vancouver:

Chung Y. Classification and Survival Analysis in Ovarian Cancer Study. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Aug 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-212518.

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

Council of Science Editors:

Chung Y. Classification and Survival Analysis in Ovarian Cancer Study. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-212518

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


University of Alberta

13. Zhang, Xuechen. COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES.

Degree: MS, Department of Mathematical and Statistical Sciences, 2013, University of Alberta

 Various analytical methods are available to analyze repeated measures data for both continuous and discrete data. In the case of discrete data, most methods are… (more)

Subjects/Keywords: Discrete Data; Repeated Measures; Non-linear Mixed Effects Model; GEE

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APA (6th Edition):

Zhang, X. (2013). COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6m311q71c

Chicago Manual of Style (16th Edition):

Zhang, Xuechen. “COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES.” 2013. Masters Thesis, University of Alberta. Accessed August 24, 2019. https://era.library.ualberta.ca/files/6m311q71c.

MLA Handbook (7th Edition):

Zhang, Xuechen. “COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES.” 2013. Web. 24 Aug 2019.

Vancouver:

Zhang X. COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Aug 24]. Available from: https://era.library.ualberta.ca/files/6m311q71c.

Council of Science Editors:

Zhang X. COMPARISON OF DISCRETE DATA METHODS FOR REPEATED MEASURES DATA WITH SMALL SAMPLES. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/6m311q71c

14. Shrestha, Mahesh. Bidirectional Distribution Reflection Function of Algodones Dunes.

Degree: MS, Electrical Engineering and Computer Science, 2016, South Dakota State University

  The primary objective of this project was to develop the Algodones Dunes as a pseudo-invariant calibration site (PICS) suitable for absolute calibration of satellite… (more)

Subjects/Keywords: Algodones Dunes; BRDF; linear mixed model; Electrical and Computer Engineering

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APA (6th Edition):

Shrestha, M. (2016). Bidirectional Distribution Reflection Function of Algodones Dunes. (Masters Thesis). South Dakota State University. Retrieved from http://openprairie.sdstate.edu/etd/1141

Chicago Manual of Style (16th Edition):

Shrestha, Mahesh. “Bidirectional Distribution Reflection Function of Algodones Dunes.” 2016. Masters Thesis, South Dakota State University. Accessed August 24, 2019. http://openprairie.sdstate.edu/etd/1141.

MLA Handbook (7th Edition):

Shrestha, Mahesh. “Bidirectional Distribution Reflection Function of Algodones Dunes.” 2016. Web. 24 Aug 2019.

Vancouver:

Shrestha M. Bidirectional Distribution Reflection Function of Algodones Dunes. [Internet] [Masters thesis]. South Dakota State University; 2016. [cited 2019 Aug 24]. Available from: http://openprairie.sdstate.edu/etd/1141.

Council of Science Editors:

Shrestha M. Bidirectional Distribution Reflection Function of Algodones Dunes. [Masters Thesis]. South Dakota State University; 2016. Available from: http://openprairie.sdstate.edu/etd/1141


University of Exeter

15. Dormehl, Shilo John. A longitudinal modelling approach for the progression of sub-elite youth swimming performance.

Degree: PhD, 2016, University of Exeter

 Formal long-term athlete development programmes emerged at the turn of the century and, despite some fierce criticisms, have evolved significantly since their inception. The first… (more)

Subjects/Keywords: 797.2; talent identification; athlete development; adolescent; specialisation; Mixed Linear Model

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APA (6th Edition):

Dormehl, S. J. (2016). A longitudinal modelling approach for the progression of sub-elite youth swimming performance. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/25995

Chicago Manual of Style (16th Edition):

Dormehl, Shilo John. “A longitudinal modelling approach for the progression of sub-elite youth swimming performance.” 2016. Doctoral Dissertation, University of Exeter. Accessed August 24, 2019. http://hdl.handle.net/10871/25995.

MLA Handbook (7th Edition):

Dormehl, Shilo John. “A longitudinal modelling approach for the progression of sub-elite youth swimming performance.” 2016. Web. 24 Aug 2019.

Vancouver:

Dormehl SJ. A longitudinal modelling approach for the progression of sub-elite youth swimming performance. [Internet] [Doctoral dissertation]. University of Exeter; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10871/25995.

Council of Science Editors:

Dormehl SJ. A longitudinal modelling approach for the progression of sub-elite youth swimming performance. [Doctoral Dissertation]. University of Exeter; 2016. Available from: http://hdl.handle.net/10871/25995


Bowling Green State University

16. 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 August 24, 2019. 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. 24 Aug 2019.

Vancouver:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Internet] [Doctoral dissertation]. Bowling Green State University; 2016. [cited 2019 Aug 24]. 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

17. Ferster, Amanda Elizabeth. An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model.

Degree: PhD, Educational Psychology, 2013, University of Georgia

 The impact of item level cognitive supports is of considerable interest to assessment developers. The Alternate Assessment based on Modified Achievement Standards (AA-MAS) currently permits… (more)

Subjects/Keywords: generalized linear mixed model

…Generalized Linear Mixed Model Statistical Framework ..............................32 ix… …problems through the lens of the generalized linear mixed model (GLMM) helps to unify… …e.g., Rasch IRT) to a member of the generalized linear mixed model family, this… …psychometric and statistical methods—the generalized linear mixed model. It is the intent of this… …48 The Random Effects Extension of the Linear Logistic Test Model ......................54… 

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

APA (6th Edition):

Ferster, A. E. (2013). An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ferster_amanda_e_201308_phd

Chicago Manual of Style (16th Edition):

Ferster, Amanda Elizabeth. “An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model.” 2013. Doctoral Dissertation, University of Georgia. Accessed August 24, 2019. http://purl.galileo.usg.edu/uga_etd/ferster_amanda_e_201308_phd.

MLA Handbook (7th Edition):

Ferster, Amanda Elizabeth. “An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model.” 2013. Web. 24 Aug 2019.

Vancouver:

Ferster AE. An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2019 Aug 24]. Available from: http://purl.galileo.usg.edu/uga_etd/ferster_amanda_e_201308_phd.

Council of Science Editors:

Ferster AE. An evaluation of item level cognitive supports via a random-effects extension of the Linear Logistic Test Model. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/ferster_amanda_e_201308_phd


Boston University

18. 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 (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 August 24, 2019. 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. 24 Aug 2019.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2019 Aug 24]. 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 Cambridge

19. Casale, Francesco Paolo. Multivariate linear mixed models for statistical genetics.

Degree: PhD, 2016, University of Cambridge

 In the last decade, genome-wide association studies have helped to advance our understanding of the genetic architecture of many important traits, including diseases. However, the… (more)

Subjects/Keywords: 519.5; linear mixed model; statistical genetics; GWAS; multivariate

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APA (6th Edition):

Casale, F. P. (2016). Multivariate linear mixed models for statistical genetics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267465 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723523

Chicago Manual of Style (16th Edition):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics.” 2016. Doctoral Dissertation, University of Cambridge. Accessed August 24, 2019. https://www.repository.cam.ac.uk/handle/1810/267465 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723523.

MLA Handbook (7th Edition):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics.” 2016. Web. 24 Aug 2019.

Vancouver:

Casale FP. Multivariate linear mixed models for statistical genetics. [Internet] [Doctoral dissertation]. University of Cambridge; 2016. [cited 2019 Aug 24]. Available from: https://www.repository.cam.ac.uk/handle/1810/267465 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723523.

Council of Science Editors:

Casale FP. Multivariate linear mixed models for statistical genetics. [Doctoral Dissertation]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/267465 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723523


IUPUI

20. Dorman, Hannah Louise. A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

An analysis of longitudinal data collected about beliefs regarding colorectal cancer (CRC) screenings at three-time points was analyzed to determine… (more)

Subjects/Keywords: Cancer; Colorectal Cancer; Breast Cancer; Longitudinal Data Analysis; Mixed Linear Model

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APA (6th Edition):

Dorman, H. L. (2018). A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/17433

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):

Dorman, Hannah Louise. “A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening.” 2018. Thesis, IUPUI. Accessed August 24, 2019. http://hdl.handle.net/1805/17433.

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

MLA Handbook (7th Edition):

Dorman, Hannah Louise. “A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening.” 2018. Web. 24 Aug 2019.

Vancouver:

Dorman HL. A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1805/17433.

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

Council of Science Editors:

Dorman HL. A Longitudinal Analysis to Compare a Tailored Web-Based Intervention and Tailored Phone Counseling to Usual Care for Improving Beliefs of Colorectal Cancer Screening. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/17433

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


University of Minnesota

21. Sanford, Thomas. The prestige treadmill: connections between prestige and revenue in higher education.

Degree: PhD, Educational Policy and Administration, 2011, University of Minnesota

 This study examines the relationship between prestige and institutional funding profiles. Specifically, it analyses the relationship between increases in institutional prestige and an institution's dependency… (more)

Subjects/Keywords: Linear Mixed Model; Longitudinal; Prestige; Revenue; Educational Policy and Administration

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

APA (6th Edition):

Sanford, T. (2011). The prestige treadmill: connections between prestige and revenue in higher education. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/116298

Chicago Manual of Style (16th Edition):

Sanford, Thomas. “The prestige treadmill: connections between prestige and revenue in higher education.” 2011. Doctoral Dissertation, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/116298.

MLA Handbook (7th Edition):

Sanford, Thomas. “The prestige treadmill: connections between prestige and revenue in higher education.” 2011. Web. 24 Aug 2019.

Vancouver:

Sanford T. The prestige treadmill: connections between prestige and revenue in higher education. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/116298.

Council of Science Editors:

Sanford T. The prestige treadmill: connections between prestige and revenue in higher education. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/116298

22. He, Jingyi. Fitting Mixed Effects Models with Big Data.

Degree: 2017, University of California – eScholarship, University of California

 As technology evolves, big data bring us great opportunities to identify patterns which were infeasible to identify from observations before. At the same time, it… (more)

Subjects/Keywords: Statistics; Big Data; Divide and Conquer; Linear Mixed Effect Model; Subsampling

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

APA (6th Edition):

He, J. (2017). Fitting Mixed Effects Models with Big Data. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/5s4156kj

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):

He, Jingyi. “Fitting Mixed Effects Models with Big Data.” 2017. Thesis, University of California – eScholarship, University of California. Accessed August 24, 2019. http://www.escholarship.org/uc/item/5s4156kj.

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

MLA Handbook (7th Edition):

He, Jingyi. “Fitting Mixed Effects Models with Big Data.” 2017. Web. 24 Aug 2019.

Vancouver:

He J. Fitting Mixed Effects Models with Big Data. [Internet] [Thesis]. University of California – eScholarship, University of California; 2017. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/5s4156kj.

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

Council of Science Editors:

He J. Fitting Mixed Effects Models with Big Data. [Thesis]. University of California – eScholarship, University of California; 2017. Available from: http://www.escholarship.org/uc/item/5s4156kj

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


University of Louisville

23. 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 August 24, 2019. 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. 24 Aug 2019.

Vancouver:

Jang H. Mixed-effects models for modeling cardiac functions and treatment effects. [Internet] [Masters thesis]. University of Louisville; 2011. [cited 2019 Aug 24]. 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

24. Gagnon, Jacob A. A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis.

Degree: PhD, Mathematics, 2010, U of Massachusetts : PhD

 The first part of my thesis is concerned with estimation for longitudinal data using generalized semi-parametric mixed models and multilevel generalized linear mixed models for… (more)

Subjects/Keywords: Gauss Hermite Quadrature; Generalized Linear Mixed Model; Generalized Semiparametric Mixed Model; multilevel; Spherical Radial; splines; Mathematics; Statistics and Probability

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APA (6th Edition):

Gagnon, J. A. (2010). A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/281

Chicago Manual of Style (16th Edition):

Gagnon, Jacob A. “A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed August 24, 2019. https://scholarworks.umass.edu/open_access_dissertations/281.

MLA Handbook (7th Edition):

Gagnon, Jacob A. “A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis.” 2010. Web. 24 Aug 2019.

Vancouver:

Gagnon JA. A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2019 Aug 24]. Available from: https://scholarworks.umass.edu/open_access_dissertations/281.

Council of Science Editors:

Gagnon JA. A Hierarchical Spherical Radial Quadrature Algorithm for Multilevel GLMMS, GSMMS, and Gene Pathway Analysis. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/281

25. Adkins, Casey L. The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri.

Degree: MSin Biology, Biology, 2019, Missouri State University

  The risk of tick-borne infection is increasing across the United States, and in Missouri, ticks are expanding into novel regions due to climate change,… (more)

Subjects/Keywords: tick; abiotic; biotic; ants; abundance; sampling methods; generalized linear model; linear mixed effect model; Missouri; Biology

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APA (6th Edition):

Adkins, C. L. (2019). The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3344

Chicago Manual of Style (16th Edition):

Adkins, Casey L. “The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri.” 2019. Masters Thesis, Missouri State University. Accessed August 24, 2019. https://bearworks.missouristate.edu/theses/3344.

MLA Handbook (7th Edition):

Adkins, Casey L. “The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri.” 2019. Web. 24 Aug 2019.

Vancouver:

Adkins CL. The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2019 Aug 24]. Available from: https://bearworks.missouristate.edu/theses/3344.

Council of Science Editors:

Adkins CL. The Assessment of Predictor Variables for Hard Tick Abundance in Southwestern Missouri. [Masters Thesis]. Missouri State University; 2019. Available from: https://bearworks.missouristate.edu/theses/3344


University of Manitoba

26. Aljafary, Michelle. Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear.

Degree: Biological Sciences, 2016, University of Manitoba

 My thesis examines nonlinearity between catch and effort. I use a meta-analysis of published literature and generalized linear mixed-effects models (GLMM) on both fixed and… (more)

Subjects/Keywords: meta-analysis; generalized linear mixed-effects model (GLMM); catch; effort; error-in-variables; proportionality; disproportionality; mixed effects; RMA; OLS; aggregation.

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APA (6th Edition):

Aljafary, M. (2016). Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31208

Chicago Manual of Style (16th Edition):

Aljafary, Michelle. “Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear.” 2016. Masters Thesis, University of Manitoba. Accessed August 24, 2019. http://hdl.handle.net/1993/31208.

MLA Handbook (7th Edition):

Aljafary, Michelle. “Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear.” 2016. Web. 24 Aug 2019.

Vancouver:

Aljafary M. Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1993/31208.

Council of Science Editors:

Aljafary M. Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31208


Texas A&M University

27. Mann, Angelica. Numerically Efficient Water Quality Modeling and Security Applications.

Degree: 2013, Texas A&M University

 Chemical and biological contaminants can enter a drinking water distribution system through one of the many access points to the network and can spread quickly… (more)

Subjects/Keywords: water quality model; optimization; mixed integer linear programming; contaminant source inversion; manual sampling; simulation

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APA (6th Edition):

Mann, A. (2013). Numerically Efficient Water Quality Modeling and Security Applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149303

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):

Mann, Angelica. “Numerically Efficient Water Quality Modeling and Security Applications.” 2013. Thesis, Texas A&M University. Accessed August 24, 2019. http://hdl.handle.net/1969.1/149303.

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

MLA Handbook (7th Edition):

Mann, Angelica. “Numerically Efficient Water Quality Modeling and Security Applications.” 2013. Web. 24 Aug 2019.

Vancouver:

Mann A. Numerically Efficient Water Quality Modeling and Security Applications. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1969.1/149303.

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

Council of Science Editors:

Mann A. Numerically Efficient Water Quality Modeling and Security Applications. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149303

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


Texas A&M University

28. Chen, Hsiang-Chun. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.

Degree: 2013, Texas A&M University

 Multivariate generalized linear mixed models (MGLMM) are used for jointly modeling the clustered mixed outcomes obtained when there are two or more responses repeatedly measured… (more)

Subjects/Keywords: Correlation coefficient; Clustered mixed outcome; Multivariate generalized linear model; Uniform shrinkage prior

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APA (6th Edition):

Chen, H. (2013). Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151145

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):

Chen, Hsiang-Chun. “Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.” 2013. Thesis, Texas A&M University. Accessed August 24, 2019. http://hdl.handle.net/1969.1/151145.

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

MLA Handbook (7th Edition):

Chen, Hsiang-Chun. “Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.” 2013. Web. 24 Aug 2019.

Vancouver:

Chen H. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1969.1/151145.

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

Council of Science Editors:

Chen H. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151145

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


Brunel University

29. Abdel-Jawad, Malek. Applications of optimization to sovereign debt issuance.

Degree: PhD, 2013, Brunel University

 This thesis investigates different issues related to the issuance of debt by sovereign bodies such as governments, under uncertainty about the future interest rates. Several… (more)

Subjects/Keywords: 336.3; Mixed integer linear programming; Optimization; Public debt management; Auction process model

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APA (6th Edition):

Abdel-Jawad, M. (2013). Applications of optimization to sovereign debt issuance. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7625 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575688

Chicago Manual of Style (16th Edition):

Abdel-Jawad, Malek. “Applications of optimization to sovereign debt issuance.” 2013. Doctoral Dissertation, Brunel University. Accessed August 24, 2019. http://bura.brunel.ac.uk/handle/2438/7625 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575688.

MLA Handbook (7th Edition):

Abdel-Jawad, Malek. “Applications of optimization to sovereign debt issuance.” 2013. Web. 24 Aug 2019.

Vancouver:

Abdel-Jawad M. Applications of optimization to sovereign debt issuance. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 Aug 24]. Available from: http://bura.brunel.ac.uk/handle/2438/7625 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575688.

Council of Science Editors:

Abdel-Jawad M. Applications of optimization to sovereign debt issuance. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7625 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575688


University of California – Berkeley

30. Choi, Jinnie. Advances in Combining Generalizability Theory and Item Response Theory.

Degree: Education, 2013, University of California – Berkeley

 Motivated by the recent discourses on approaches to combine generalizability theory (GT) and item response theory (IRT), this study suggests an approach that answers to… (more)

Subjects/Keywords: Educational tests & measurements; generalizability theory; generalized linear mixed model; item response theory

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APA (6th Edition):

Choi, J. (2013). Advances in Combining Generalizability Theory and Item Response Theory. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7qv174cb

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):

Choi, Jinnie. “Advances in Combining Generalizability Theory and Item Response Theory.” 2013. Thesis, University of California – Berkeley. Accessed August 24, 2019. http://www.escholarship.org/uc/item/7qv174cb.

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

MLA Handbook (7th Edition):

Choi, Jinnie. “Advances in Combining Generalizability Theory and Item Response Theory.” 2013. Web. 24 Aug 2019.

Vancouver:

Choi J. Advances in Combining Generalizability Theory and Item Response Theory. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/7qv174cb.

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

Council of Science Editors:

Choi J. Advances in Combining Generalizability Theory and Item Response Theory. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/7qv174cb

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

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