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You searched for subject:(generalized linear mixed models). Showing records 1 – 30 of 44251 total matches.

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Queen Mary, University of London

1. 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: 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 September 23, 2019. 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. 23 Sep 2019.

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 2019 Sep 23]. 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 Rochester

2. 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 September 23, 2019. http://hdl.handle.net/1802/30126.

MLA Handbook (7th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 23 Sep 2019.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2019 Sep 23]. 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


Boston University

3. 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 September 23, 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. 23 Sep 2019.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2019 Sep 23]. 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


Arizona State University

4. Krueger, Dana Cheree. Semiconductor Yield Modeling Using Generalized Linear Models.

Degree: PhD, Industrial Engineering, 2011, Arizona State University

 Yield is a key process performance characteristic in the capital-intensive semiconductor fabrication process. In an industry where machines cost millions of dollars and cycle times… (more)

Subjects/Keywords: Industrial Engineering; Statistics; Management; generalized linear mixed models; generalized linear models; process improvement; quality and reliability engineering; semiconductor; yield modeling

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APA (6th Edition):

Krueger, D. C. (2011). Semiconductor Yield Modeling Using Generalized Linear Models. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/8909

Chicago Manual of Style (16th Edition):

Krueger, Dana Cheree. “Semiconductor Yield Modeling Using Generalized Linear Models.” 2011. Doctoral Dissertation, Arizona State University. Accessed September 23, 2019. http://repository.asu.edu/items/8909.

MLA Handbook (7th Edition):

Krueger, Dana Cheree. “Semiconductor Yield Modeling Using Generalized Linear Models.” 2011. Web. 23 Sep 2019.

Vancouver:

Krueger DC. Semiconductor Yield Modeling Using Generalized Linear Models. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2019 Sep 23]. Available from: http://repository.asu.edu/items/8909.

Council of Science Editors:

Krueger DC. Semiconductor Yield Modeling Using Generalized Linear Models. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/8909


University of Georgia

5. Wu, Hsin-Ping. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.

Degree: PhD, Statistics, 2013, University of Georgia

 Finding optimal designs for generalized linear models is a challenging problem, especially when the predictor contains higher-order terms. This dissertation includes a review of literature… (more)

Subjects/Keywords: generalized linear models

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APA (6th Edition):

Wu, H. (2013). Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd

Chicago Manual of Style (16th Edition):

Wu, Hsin-Ping. “Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.” 2013. Doctoral Dissertation, University of Georgia. Accessed September 23, 2019. http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd.

MLA Handbook (7th Edition):

Wu, Hsin-Ping. “Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.” 2013. Web. 23 Sep 2019.

Vancouver:

Wu H. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2019 Sep 23]. Available from: http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd.

Council of Science Editors:

Wu H. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd

6. Rule, Michael Everett. Collective Neural Dynamics in Primate Motor Cortex.

Degree: PhD, Neuroscience, 2016, Brown University

 Understanding the neural dynamics of action selection, planning, and execution is necessary to treat motor system disorders. This task is complicated by the fact that… (more)

Subjects/Keywords: generalized linear models

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APA (6th Edition):

Rule, M. E. (2016). Collective Neural Dynamics in Primate Motor Cortex. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674356/

Chicago Manual of Style (16th Edition):

Rule, Michael Everett. “Collective Neural Dynamics in Primate Motor Cortex.” 2016. Doctoral Dissertation, Brown University. Accessed September 23, 2019. https://repository.library.brown.edu/studio/item/bdr:674356/.

MLA Handbook (7th Edition):

Rule, Michael Everett. “Collective Neural Dynamics in Primate Motor Cortex.” 2016. Web. 23 Sep 2019.

Vancouver:

Rule ME. Collective Neural Dynamics in Primate Motor Cortex. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Sep 23]. Available from: https://repository.library.brown.edu/studio/item/bdr:674356/.

Council of Science Editors:

Rule ME. Collective Neural Dynamics in Primate Motor Cortex. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674356/


Baylor University

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

Degree: 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. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8176

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):

Watson, Sydeaka P. “Poisson regression models for interval censored count data. ” 2011. Thesis, Baylor University. Accessed September 23, 2019. http://hdl.handle.net/2104/8176.

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

MLA Handbook (7th Edition):

Watson, Sydeaka P. “Poisson regression models for interval censored count data. ” 2011. Web. 23 Sep 2019.

Vancouver:

Watson SP. Poisson regression models for interval censored count data. [Internet] [Thesis]. Baylor University; 2011. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2104/8176.

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

Council of Science Editors:

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

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


Uppsala University

8. Bucaro, Orlando Olaya. Predicting risk of cyberbullying victimization using lasso regression.

Degree: Statistics, 2017, Uppsala University

  The increased online presence and use of technology by today’s adolescents has created new places where bullying can occur. The aim of this thesis… (more)

Subjects/Keywords: Multiple imputation; Generalized linear mixed models; Variable selection; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Bucaro, O. O. (2017). Predicting risk of cyberbullying victimization using lasso regression. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338767

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):

Bucaro, Orlando Olaya. “Predicting risk of cyberbullying victimization using lasso regression.” 2017. Thesis, Uppsala University. Accessed September 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338767.

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

MLA Handbook (7th Edition):

Bucaro, Orlando Olaya. “Predicting risk of cyberbullying victimization using lasso regression.” 2017. Web. 23 Sep 2019.

Vancouver:

Bucaro OO. Predicting risk of cyberbullying victimization using lasso regression. [Internet] [Thesis]. Uppsala University; 2017. [cited 2019 Sep 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338767.

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

Council of Science Editors:

Bucaro OO. Predicting risk of cyberbullying victimization using lasso regression. [Thesis]. Uppsala University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338767

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


The Ohio State University

9. Kriss, Alissa Brynn. The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat.

Degree: PhD, Plant Pathology, 2011, The Ohio State University

 Fusarium head blight (FHB) of wheat is a disease of foremost importance in many parts of the world, including Europe and the US. FHB reduces… (more)

Subjects/Keywords: Plant Pathology; Fusarium head blight; generalized linear mixed models; cross-spectral analysis; window-pane analysis

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APA (6th Edition):

Kriss, A. B. (2011). The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1320932280

Chicago Manual of Style (16th Edition):

Kriss, Alissa Brynn. “The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat.” 2011. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1320932280.

MLA Handbook (7th Edition):

Kriss, Alissa Brynn. “The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat.” 2011. Web. 23 Sep 2019.

Vancouver:

Kriss AB. The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1320932280.

Council of Science Editors:

Kriss AB. The Role of Environmental, Temporal, and Spatial Scale on the Heterogeneity of Fusarium Head Blight of Wheat. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1320932280


Georgia State University

10. 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 September 23, 2019. 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. 23 Sep 2019.

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 2019 Sep 23]. 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

11. Shannon, Carlie. A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments.

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

 This case study was motivated by the need for effective statistical analysis for a series of poultry feeding experiments conducted in 2006 by Kansas State… (more)

Subjects/Keywords: Generalized linear mixed models; GLIMMIX; Quasi-binomial distribution; Beta distribution; Statistics (0463)

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APA (6th Edition):

Shannon, C. (2013). A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/15519

Chicago Manual of Style (16th Edition):

Shannon, Carlie. “A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments.” 2013. Masters Thesis, Kansas State University. Accessed September 23, 2019. http://hdl.handle.net/2097/15519.

MLA Handbook (7th Edition):

Shannon, Carlie. “A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments.” 2013. Web. 23 Sep 2019.

Vancouver:

Shannon C. A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2097/15519.

Council of Science Editors:

Shannon C. A case study in applying generalized linear mixed models to proportion data from poultry feeding experiments. [Masters Thesis]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15519


The Ohio State University

12. 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 September 23, 2019. 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. 23 Sep 2019.

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 2019 Sep 23]. 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

13. 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 September 23, 2019. 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. 23 Sep 2019.

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 2019 Sep 23]. 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/ ;


Cornell University

14. 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 September 23, 2019. 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. 23 Sep 2019.

Vancouver:

Zipunnikov V. Topics On Generalized Linear Mixed Models . [Internet] [Thesis]. Cornell University; 2009. [cited 2019 Sep 23]. 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


Universiteit Utrecht

15. Oeben, M.H. Generalized Linear Mixed Models in the competitive non-life insurance market.

Degree: 2015, Universiteit Utrecht

Subjects/Keywords: Generalized Linear Mixed Models; Non-life insurance; Generalized Linear Models; Competitive market simulation

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APA (6th Edition):

Oeben, M. H. (2015). Generalized Linear Mixed Models in the competitive non-life insurance market. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/324690

Chicago Manual of Style (16th Edition):

Oeben, M H. “Generalized Linear Mixed Models in the competitive non-life insurance market.” 2015. Masters Thesis, Universiteit Utrecht. Accessed September 23, 2019. http://dspace.library.uu.nl:8080/handle/1874/324690.

MLA Handbook (7th Edition):

Oeben, M H. “Generalized Linear Mixed Models in the competitive non-life insurance market.” 2015. Web. 23 Sep 2019.

Vancouver:

Oeben MH. Generalized Linear Mixed Models in the competitive non-life insurance market. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2019 Sep 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/324690.

Council of Science Editors:

Oeben MH. Generalized Linear Mixed Models in the competitive non-life insurance market. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/324690


Technical University of Lisbon

16. Pinto, João Pedro Senhorães Senra. New credibility approaches in workers compensation insurance.

Degree: 2015, Technical University of Lisbon

Mestrado em Ciências Actuariais

No nosso relatório apresentamos diferentes interpretações da teoria de credibilidade de Bühlmann que foram aplicadas na análise da carteira de seguros… (more)

Subjects/Keywords: Credibilidade; Modelos Lineares Generalizados; Modelos Mistos; Seguro de Acidentes de Trabalho; Tarifação; Credibility; Generalized Linear Models; Mixed Models; Workers Compensation; Ratemaking

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APA (6th Edition):

Pinto, J. P. S. S. (2015). New credibility approaches in workers compensation insurance. (Thesis). Technical University of Lisbon. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10853

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):

Pinto, João Pedro Senhorães Senra. “New credibility approaches in workers compensation insurance.” 2015. Thesis, Technical University of Lisbon. Accessed September 23, 2019. http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10853.

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

MLA Handbook (7th Edition):

Pinto, João Pedro Senhorães Senra. “New credibility approaches in workers compensation insurance.” 2015. Web. 23 Sep 2019.

Vancouver:

Pinto JPSS. New credibility approaches in workers compensation insurance. [Internet] [Thesis]. Technical University of Lisbon; 2015. [cited 2019 Sep 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10853.

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

Council of Science Editors:

Pinto JPSS. New credibility approaches in workers compensation insurance. [Thesis]. Technical University of Lisbon; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10853

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


Virginia Tech

17. Johnson, Nels Gordon. Semiparametric Regression Methods with Covariate Measurement Error.

Degree: PhD, Statistics, 2012, Virginia Tech

 In public health, biomedical, epidemiological, and other applications, data collected are often measured with error. When mismeasured data is used in a regression analysis, not… (more)

Subjects/Keywords: Bayesian methods; error-in-covariates; generalized linear models; matched case-control studies; mixed models; semiparametric reg

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

APA (6th Edition):

Johnson, N. G. (2012). Semiparametric Regression Methods with Covariate Measurement Error. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49551

Chicago Manual of Style (16th Edition):

Johnson, Nels Gordon. “Semiparametric Regression Methods with Covariate Measurement Error.” 2012. Doctoral Dissertation, Virginia Tech. Accessed September 23, 2019. http://hdl.handle.net/10919/49551.

MLA Handbook (7th Edition):

Johnson, Nels Gordon. “Semiparametric Regression Methods with Covariate Measurement Error.” 2012. Web. 23 Sep 2019.

Vancouver:

Johnson NG. Semiparametric Regression Methods with Covariate Measurement Error. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10919/49551.

Council of Science Editors:

Johnson NG. Semiparametric Regression Methods with Covariate Measurement Error. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/49551


University of Manchester

18. Charalambous, Christiana. Variable selection in joint modelling of mean and variance for multilevel data.

Degree: PhD, 2011, University of Manchester

 We propose to extend the use of penalized likelihood based variable selection methods to hierarchical generalized linear models (HGLMs) for jointly modellingboth the mean and… (more)

Subjects/Keywords: 005.73; Variable Selection; SCAD; H-likelihood; Generalized Linear Mixed Models; Hierarchical Data; Joint Mean and Variance modelling

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

APA (6th Edition):

Charalambous, C. (2011). Variable selection in joint modelling of mean and variance for multilevel data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032

Chicago Manual of Style (16th Edition):

Charalambous, Christiana. “Variable selection in joint modelling of mean and variance for multilevel data.” 2011. Doctoral Dissertation, University of Manchester. Accessed September 23, 2019. https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032.

MLA Handbook (7th Edition):

Charalambous, Christiana. “Variable selection in joint modelling of mean and variance for multilevel data.” 2011. Web. 23 Sep 2019.

Vancouver:

Charalambous C. Variable selection in joint modelling of mean and variance for multilevel data. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Sep 23]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032.

Council of Science Editors:

Charalambous C. Variable selection in joint modelling of mean and variance for multilevel data. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032

19. Richardson, Troy E. Treatment heterogeneity and potential outcomes in linear mixed effects models.

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

 Studies commonly focus on estimating a mean treatment effect in a population. However, in some applications the variability of treatment effects across individual units may… (more)

Subjects/Keywords: Causal inference; Counterfactual; Generalized linear mixed models; Subject-treatment interaction; What would Fisher do; Statistics (0463)

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APA (6th Edition):

Richardson, T. E. (2013). Treatment heterogeneity and potential outcomes in linear mixed effects models. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/15950

Chicago Manual of Style (16th Edition):

Richardson, Troy E. “Treatment heterogeneity and potential outcomes in linear mixed effects models.” 2013. Doctoral Dissertation, Kansas State University. Accessed September 23, 2019. http://hdl.handle.net/2097/15950.

MLA Handbook (7th Edition):

Richardson, Troy E. “Treatment heterogeneity and potential outcomes in linear mixed effects models.” 2013. Web. 23 Sep 2019.

Vancouver:

Richardson TE. Treatment heterogeneity and potential outcomes in linear mixed effects models. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/2097/15950.

Council of Science Editors:

Richardson TE. Treatment heterogeneity and potential outcomes in linear mixed effects models. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15950


Iowa State University

20. Lu, Lu. Statistical methods in a high school transcript survey.

Degree: 2009, Iowa State University

 In complex surveys that involve stratification and clustering structures, given the budget, time and resource restrictions, the surveys are usually designed to produce specific accuracy… (more)

Subjects/Keywords: benchmarking; generalized linear mixed models; hierarchical Bayes; one-per-stratum design; small area estimation; variance estimation; Statistics and Probability

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

APA (6th Edition):

Lu, L. (2009). Statistical methods in a high school transcript survey. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/12188

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):

Lu, Lu. “Statistical methods in a high school transcript survey.” 2009. Thesis, Iowa State University. Accessed September 23, 2019. https://lib.dr.iastate.edu/etd/12188.

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

MLA Handbook (7th Edition):

Lu, Lu. “Statistical methods in a high school transcript survey.” 2009. Web. 23 Sep 2019.

Vancouver:

Lu L. Statistical methods in a high school transcript survey. [Internet] [Thesis]. Iowa State University; 2009. [cited 2019 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/12188.

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

Council of Science Editors:

Lu L. Statistical methods in a high school transcript survey. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/12188

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


University of Wollongong

21. Wang, Shen. Variational inference machines for semiparametric regression.

Degree: PhD, 2015, University of Wollongong

  Variational approximation methods are enjoying an increasing amount of development and use in statistical problems. In the Bayesian field, we develop mean field variational… (more)

Subjects/Keywords: Additive mixed models; Bayesian inference; generalized linear mixed models; Infer. NET; maximum likelihood estimation; mean field variational Bayes; variational approximation; variable selection

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APA (6th Edition):

Wang, S. (2015). Variational inference machines for semiparametric regression. (Doctoral Dissertation). University of Wollongong. Retrieved from 0104 STATISTICS, 010401 Applied Statistics, 010405 Statistical Theory ; https://ro.uow.edu.au/theses/4666

Chicago Manual of Style (16th Edition):

Wang, Shen. “Variational inference machines for semiparametric regression.” 2015. Doctoral Dissertation, University of Wollongong. Accessed September 23, 2019. 0104 STATISTICS, 010401 Applied Statistics, 010405 Statistical Theory ; https://ro.uow.edu.au/theses/4666.

MLA Handbook (7th Edition):

Wang, Shen. “Variational inference machines for semiparametric regression.” 2015. Web. 23 Sep 2019.

Vancouver:

Wang S. Variational inference machines for semiparametric regression. [Internet] [Doctoral dissertation]. University of Wollongong; 2015. [cited 2019 Sep 23]. Available from: 0104 STATISTICS, 010401 Applied Statistics, 010405 Statistical Theory ; https://ro.uow.edu.au/theses/4666.

Council of Science Editors:

Wang S. Variational inference machines for semiparametric regression. [Doctoral Dissertation]. University of Wollongong; 2015. Available from: 0104 STATISTICS, 010401 Applied Statistics, 010405 Statistical Theory ; https://ro.uow.edu.au/theses/4666


Universidade do Minho

22. Oliveira, Antônio Neco de. Modelação por regressão incorporando dependência espacial e temporal .

Degree: 2018, Universidade do Minho

 A dengue é uma doença viral transmitida pelo mosquito Aedes aegypti, devendo ser tratada e o vetor transmissor eliminado para evitar epidemias e mortes. Nesta… (more)

Subjects/Keywords: Binomial negativa; Bootstrap; Clima; Dengue; Equações de estimação generalizadas; Modelos lineares generalizados mistos; Poisson; Regressão; Negative binomial; Climate; Generalized estimating equations; Generalized linear mixed models; Regression

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APA (6th Edition):

Oliveira, A. N. d. (2018). Modelação por regressão incorporando dependência espacial e temporal . (Doctoral Dissertation). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/56311

Chicago Manual of Style (16th Edition):

Oliveira, Antônio Neco de. “Modelação por regressão incorporando dependência espacial e temporal .” 2018. Doctoral Dissertation, Universidade do Minho. Accessed September 23, 2019. http://hdl.handle.net/1822/56311.

MLA Handbook (7th Edition):

Oliveira, Antônio Neco de. “Modelação por regressão incorporando dependência espacial e temporal .” 2018. Web. 23 Sep 2019.

Vancouver:

Oliveira ANd. Modelação por regressão incorporando dependência espacial e temporal . [Internet] [Doctoral dissertation]. Universidade do Minho; 2018. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1822/56311.

Council of Science Editors:

Oliveira ANd. Modelação por regressão incorporando dependência espacial e temporal . [Doctoral Dissertation]. Universidade do Minho; 2018. Available from: http://hdl.handle.net/1822/56311


Virginia Tech

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

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 September 23, 2019. http://hdl.handle.net/10919/28012.

MLA Handbook (7th Edition):

Chen, Jinsong. “Semiparametric Methods for the Generalized Linear Model.” 2010. Web. 23 Sep 2019.

Vancouver:

Chen J. Semiparametric Methods for the Generalized Linear Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Sep 23]. 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

24. Nati, Lilian. Superdispersão em dados binomiais hierárquicos.

Degree: PhD, Estatística, 2008, University of São Paulo

Para analisar dados binários oriundos de uma estrutura hierárquica com dois níveis (por exemplo, aluno e escola), uma alternativa bastante utilizada é a suposição da… (more)

Subjects/Keywords: binomial data; dados binomiais; generalized linear mixed models; hierarchical models; modelos hierárquicos; modelos lineares generalizados mistos; modelos multiníveis; multilevel models; overdispersion; superdispersão

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APA (6th Edition):

Nati, L. (2008). Superdispersão em dados binomiais hierárquicos. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;

Chicago Manual of Style (16th Edition):

Nati, Lilian. “Superdispersão em dados binomiais hierárquicos.” 2008. Doctoral Dissertation, University of São Paulo. Accessed September 23, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;.

MLA Handbook (7th Edition):

Nati, Lilian. “Superdispersão em dados binomiais hierárquicos.” 2008. Web. 23 Sep 2019.

Vancouver:

Nati L. Superdispersão em dados binomiais hierárquicos. [Internet] [Doctoral dissertation]. University of São Paulo; 2008. [cited 2019 Sep 23]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;.

Council of Science Editors:

Nati L. Superdispersão em dados binomiais hierárquicos. [Doctoral Dissertation]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;


University of Iowa

25. Ten Eyck, Patrick. Problems in generalized linear model selection and predictive evaluation for binary outcomes.

Degree: PhD, Biostatistics, 2015, University of Iowa

  This manuscript consists of three papers which formulate novel generalized linear model methodologies. In Chapter 1, we introduce a variant of the traditional concordance… (more)

Subjects/Keywords: Biostatistics; Generalized linear models; Model selection; Biostatistics

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APA (6th Edition):

Ten Eyck, P. (2015). Problems in generalized linear model selection and predictive evaluation for binary outcomes. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/6003

Chicago Manual of Style (16th Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Doctoral Dissertation, University of Iowa. Accessed September 23, 2019. https://ir.uiowa.edu/etd/6003.

MLA Handbook (7th Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Web. 23 Sep 2019.

Vancouver:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Internet] [Doctoral dissertation]. University of Iowa; 2015. [cited 2019 Sep 23]. Available from: https://ir.uiowa.edu/etd/6003.

Council of Science Editors:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Doctoral Dissertation]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/6003


Colorado State University

26. 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 (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 September 23, 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. 23 Sep 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 Sep 23]. 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

27. Rizzato, Fernanda Bührer. Modelos para análise de dados discretos longitudinais com superdispersão.

Degree: PhD, Estatística e Experimentação Agronômica, 2012, University of São Paulo

Dados longitudinais na forma de contagens e na forma binária são muito comuns, os quais, frequentemente, podem ser analisados por distribuições de Poisson e de… (more)

Subjects/Keywords: Análise de dados longitudinais; Bayesian inference; Bernoulli distribution; Distribuição de Bernoulli; Distribuição de Poisson; Generalized linear models; Inferência Bayesiana; Longitudinal data; Mixed models; Modelos lineares generalizados; Modelos mistos; Poisson distribution

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APA (6th Edition):

Rizzato, F. B. (2012). Modelos para análise de dados discretos longitudinais com superdispersão. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/11/11134/tde-23032012-092433/ ;

Chicago Manual of Style (16th Edition):

Rizzato, Fernanda Bührer. “Modelos para análise de dados discretos longitudinais com superdispersão.” 2012. Doctoral Dissertation, University of São Paulo. Accessed September 23, 2019. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-23032012-092433/ ;.

MLA Handbook (7th Edition):

Rizzato, Fernanda Bührer. “Modelos para análise de dados discretos longitudinais com superdispersão.” 2012. Web. 23 Sep 2019.

Vancouver:

Rizzato FB. Modelos para análise de dados discretos longitudinais com superdispersão. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2019 Sep 23]. Available from: http://www.teses.usp.br/teses/disponiveis/11/11134/tde-23032012-092433/ ;.

Council of Science Editors:

Rizzato FB. Modelos para análise de dados discretos longitudinais com superdispersão. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/11/11134/tde-23032012-092433/ ;


Bowling Green State University

28. 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 September 23, 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. 23 Sep 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 Sep 23]. 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

29. Bautista, Ezequiel Abraham López. Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis.

Degree: PhD, Estatística e Experimentação Agronômica, 2014, University of São Paulo

Este trabalho objetivou a avaliação da presença de plasticidade fenotípica e de adaptação local de três procedências de palmiteiro: Ombrófila Densa, Estacional Semidecidual e Restinga,… (more)

Subjects/Keywords: Adaptação local; Análise de grupos de experimentos; Generalized linear mixed models; Joint analysis from agronomical essays; Linear mixed models; Local adaptation; Modelos lineares generalizados mistos; Modelos lineares mistos; Phenotypic plasticity; Plasticidade fenotípica

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APA (6th Edition):

Bautista, E. A. L. (2014). Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/11/11134/tde-11092014-170903/ ;

Chicago Manual of Style (16th Edition):

Bautista, Ezequiel Abraham López. “Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis.” 2014. Doctoral Dissertation, University of São Paulo. Accessed September 23, 2019. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-11092014-170903/ ;.

MLA Handbook (7th Edition):

Bautista, Ezequiel Abraham López. “Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis.” 2014. Web. 23 Sep 2019.

Vancouver:

Bautista EAL. Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2019 Sep 23]. Available from: http://www.teses.usp.br/teses/disponiveis/11/11134/tde-11092014-170903/ ;.

Council of Science Editors:

Bautista EAL. Modelos lineares mistos e generalizados mistos em estudos de adaptação local e plasticidade fenotípica de Euterpe edulis. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/11/11134/tde-11092014-170903/ ;

30. Huang, Zhiyue. The Generalized Method of Moments for Mixture and Mixed Models.

Degree: 2015, University of Waterloo

 Mixture models can be found in a wide variety of statistical applications. However, undertaking statistical inference in mixture models, especially non-parametric mixture models, can be… (more)

Subjects/Keywords: Mixture Models; Mixed-effects Models; Generalized Method of Moments; Hypothesis Testing

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

APA (6th Edition):

Huang, Z. (2015). The Generalized Method of Moments for Mixture and Mixed Models. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9737

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

Chicago Manual of Style (16th Edition):

Huang, Zhiyue. “The Generalized Method of Moments for Mixture and Mixed Models.” 2015. Thesis, University of Waterloo. Accessed September 23, 2019. http://hdl.handle.net/10012/9737.

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

MLA Handbook (7th Edition):

Huang, Zhiyue. “The Generalized Method of Moments for Mixture and Mixed Models.” 2015. Web. 23 Sep 2019.

Vancouver:

Huang Z. The Generalized Method of Moments for Mixture and Mixed Models. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10012/9737.

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

Council of Science Editors:

Huang Z. The Generalized Method of Moments for Mixture and Mixed Models. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9737

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

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