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You searched for subject:(Cross Classified Random Effects Models). Showing records 1 – 30 of 50312 total matches.

[1] [2] [3] [4] [5] … [1678]

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Georgia State University

1. Lei, Xiaoxuan. The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms.

Degree: PhD, Educational Policy Studies, 2017, Georgia State University

  Classroom observations have been increasingly used for teacher evaluations, and thus it is important to examine the measurement quality and the use of observation… (more)

Subjects/Keywords: Classroom observation ratings; Classroom-level variation; Cross-classified random effects modeling

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APA (6th Edition):

Lei, X. (2017). The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/eps_diss/156

Chicago Manual of Style (16th Edition):

Lei, Xiaoxuan. “The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms.” 2017. Doctoral Dissertation, Georgia State University. Accessed January 27, 2020. https://scholarworks.gsu.edu/eps_diss/156.

MLA Handbook (7th Edition):

Lei, Xiaoxuan. “The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms.” 2017. Web. 27 Jan 2020.

Vancouver:

Lei X. The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2020 Jan 27]. Available from: https://scholarworks.gsu.edu/eps_diss/156.

Council of Science Editors:

Lei X. The Variation of a Teacher's Classroom Observation Ratings across Multiple Classrooms. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/eps_diss/156


Texas A&M University

2. Luo, Wen. The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study.

Degree: 2009, Texas A&M University

Cross-classified random effects models (CCREMs) are used in the analyses of cross-sectional and longitudinal multilevel data that are not strictly hierarchical. Because of the complexity… (more)

Subjects/Keywords: cross-classified models

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APA (6th Edition):

Luo, W. (2009). The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1507

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):

Luo, Wen. “The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study.” 2009. Thesis, Texas A&M University. Accessed January 27, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1507.

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

MLA Handbook (7th Edition):

Luo, Wen. “The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study.” 2009. Web. 27 Jan 2020.

Vancouver:

Luo W. The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1507.

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

Council of Science Editors:

Luo W. The impact of misspecifying cross-classified random effects models in cross-sectional and longitudinal multilevel data: a Monte Carlo study. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1507

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


Georgia State University

3. Alemdar, Meltem. A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models.

Degree: PhD, Educational Policy Studies, 2009, Georgia State University

 Unlike multilevel data with a purely nested structure, data that are cross-classified not only may be clustered into hierarchically ordered units but also may belong… (more)

Subjects/Keywords: Cross- Classified Data; Cross-Classified Random Effects Models; Missing Data; Multiple Imputation; Education; Education Policy

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APA (6th Edition):

Alemdar, M. (2009). A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/eps_diss/34

Chicago Manual of Style (16th Edition):

Alemdar, Meltem. “A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models.” 2009. Doctoral Dissertation, Georgia State University. Accessed January 27, 2020. https://scholarworks.gsu.edu/eps_diss/34.

MLA Handbook (7th Edition):

Alemdar, Meltem. “A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models.” 2009. Web. 27 Jan 2020.

Vancouver:

Alemdar M. A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2020 Jan 27]. Available from: https://scholarworks.gsu.edu/eps_diss/34.

Council of Science Editors:

Alemdar M. A Monte Carlo Study: The Impact of Missing Data in Cross-Classification Random Effects Models. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/eps_diss/34

4. Wallace, Myriam Lopez. Modeling cross-classified data with and without the crossed factors' random effects' interaction.

Degree: PhD, Educational Psychology, 2015, University of Texas – Austin

 The present study investigated estimation of the variance of the cross-classified factors’ random effects’ interaction for cross-classified data structures. Results for two different three-level cross-classified(more)

Subjects/Keywords: Cross-classified random effects modeling; Cross-classified factors; Multilevel modeling

…using the cross-classified random-effects models (CCREM) (Beretvas, 2008… …The present study focuses on the cross-classified random effects model (CCREM), an… …the cross-classified factors’ random effects, assumed to follow a normal distribution, with… …for the level-2 cross-classified factors’ random effects variance components. Shi et al.’s… …exclusion of the cross-classified factors’ random effects’ interaction at the second level, might… 

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APA (6th Edition):

Wallace, M. L. (2015). Modeling cross-classified data with and without the crossed factors' random effects' interaction. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31010

Chicago Manual of Style (16th Edition):

Wallace, Myriam Lopez. “Modeling cross-classified data with and without the crossed factors' random effects' interaction.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 27, 2020. http://hdl.handle.net/2152/31010.

MLA Handbook (7th Edition):

Wallace, Myriam Lopez. “Modeling cross-classified data with and without the crossed factors' random effects' interaction.” 2015. Web. 27 Jan 2020.

Vancouver:

Wallace ML. Modeling cross-classified data with and without the crossed factors' random effects' interaction. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2152/31010.

Council of Science Editors:

Wallace ML. Modeling cross-classified data with and without the crossed factors' random effects' interaction. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31010


Kent State University

5. Giovannone, Carrie Lynn. A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools.

Degree: PhD, College and Graduate School of Education, Health and Human Services / School of Foundations, Leadership and Administration, 2010, Kent State University

  In 1995, Arizona legislators passed laws specifically to implement charter schools in Arizona. Approving 15 year charters (i.e., contracts), allowing charter schools to cross(more)

Subjects/Keywords: Education; HLM; CCREM; hierarchical linear modeling; multi-level modeling; cross-classified random effects; charter schools; teacher experience; class size; multiple imputation; mathematics achievement; reading achievement; school choice

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APA (6th Edition):

Giovannone, C. L. (2010). A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools. (Doctoral Dissertation). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1288808181

Chicago Manual of Style (16th Edition):

Giovannone, Carrie Lynn. “A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools.” 2010. Doctoral Dissertation, Kent State University. Accessed January 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1288808181.

MLA Handbook (7th Edition):

Giovannone, Carrie Lynn. “A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools.” 2010. Web. 27 Jan 2020.

Vancouver:

Giovannone CL. A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools. [Internet] [Doctoral dissertation]. Kent State University; 2010. [cited 2020 Jan 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1288808181.

Council of Science Editors:

Giovannone CL. A Longitudinal Study of School Practices and Students’ Characteristics that Influence Students' Mathematics and Reading Performance of Arizona Charter Middle Schools. [Doctoral Dissertation]. Kent State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1288808181

6. Li, Jie, active 2013. Extension of the cross-classified multiple membership growth curve model for longitudinal data.

Degree: MSin Statistics, Statistics, 2013, University of Texas – Austin

 Student mobility is a common phenomenon in longitudinal data in educational research. The characteristics of education longitudinal data create a problem for the conventional multilevel… (more)

Subjects/Keywords: Multilevel model; CCMM-GCM; Student mobility; Cross-classified random effects

…Beretvas,S.N.(2008). Cross-Classified random effects models. In O'Connell, A. A… …classified Random Effects Models In conventional multilevel model, the data structure is assumed… …Random Effect Model (MMREM) and Cross-classified Random Effect Model (CCERM)… …Grady et al (2010) provide a model combining cross-classified random effect model… …weight. In this report, a model based on Hierarchical model and Cross-Classified Random Effect… 

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APA (6th Edition):

Li, Jie, a. 2. (2013). Extension of the cross-classified multiple membership growth curve model for longitudinal data. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22570

Chicago Manual of Style (16th Edition):

Li, Jie, active 2013. “Extension of the cross-classified multiple membership growth curve model for longitudinal data.” 2013. Masters Thesis, University of Texas – Austin. Accessed January 27, 2020. http://hdl.handle.net/2152/22570.

MLA Handbook (7th Edition):

Li, Jie, active 2013. “Extension of the cross-classified multiple membership growth curve model for longitudinal data.” 2013. Web. 27 Jan 2020.

Vancouver:

Li, Jie a2. Extension of the cross-classified multiple membership growth curve model for longitudinal data. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2152/22570.

Council of Science Editors:

Li, Jie a2. Extension of the cross-classified multiple membership growth curve model for longitudinal data. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22570

7. Devamitta Perera, Muditha Virangika. Robustness of normal theory inference when random effects are not normally distributed.

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

 The variance of a response in a one-way random effects model can be expressed as the sum of the variability among and within treatment levels.… (more)

Subjects/Keywords: Random Effects Models; Non-normal random effects; Variance Components; Statistics (0463)

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APA (6th Edition):

Devamitta Perera, M. V. (2011). Robustness of normal theory inference when random effects are not normally distributed. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/8786

Chicago Manual of Style (16th Edition):

Devamitta Perera, Muditha Virangika. “Robustness of normal theory inference when random effects are not normally distributed.” 2011. Masters Thesis, Kansas State University. Accessed January 27, 2020. http://hdl.handle.net/2097/8786.

MLA Handbook (7th Edition):

Devamitta Perera, Muditha Virangika. “Robustness of normal theory inference when random effects are not normally distributed.” 2011. Web. 27 Jan 2020.

Vancouver:

Devamitta Perera MV. Robustness of normal theory inference when random effects are not normally distributed. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2097/8786.

Council of Science Editors:

Devamitta Perera MV. Robustness of normal theory inference when random effects are not normally distributed. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/8786


University of Southern California

8. Wee, Choo Phei. Application of random effects models to a clinical retrospective hierarchical database.

Degree: MS, Biostatistics, 2008, University of Southern California

 The NEC study is a retrospective study exploring factors related to mortality and evaluating if surgical treatment for NEC results in less mortality in at-risk… (more)

Subjects/Keywords: random effects models

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APA (6th Edition):

Wee, C. P. (2008). Application of random effects models to a clinical retrospective hierarchical database. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/85490/rec/857

Chicago Manual of Style (16th Edition):

Wee, Choo Phei. “Application of random effects models to a clinical retrospective hierarchical database.” 2008. Masters Thesis, University of Southern California. Accessed January 27, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/85490/rec/857.

MLA Handbook (7th Edition):

Wee, Choo Phei. “Application of random effects models to a clinical retrospective hierarchical database.” 2008. Web. 27 Jan 2020.

Vancouver:

Wee CP. Application of random effects models to a clinical retrospective hierarchical database. [Internet] [Masters thesis]. University of Southern California; 2008. [cited 2020 Jan 27]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/85490/rec/857.

Council of Science Editors:

Wee CP. Application of random effects models to a clinical retrospective hierarchical database. [Masters Thesis]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/85490/rec/857


University of Minnesota

9. Stanke, Luke. Modeling Item Features that Characterize Measurement Bias.

Degree: PhD, Educational Psychology, 2016, University of Minnesota

 Identifying measurement bias in test items using statistical procedures is important because it aids in the development of a measurement invariant and fair test. Many… (more)

Subjects/Keywords: cross-classified models; measurement bias; measurement invariance; multilevel models; Rasch models; test taking

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APA (6th Edition):

Stanke, L. (2016). Modeling Item Features that Characterize Measurement Bias. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182752

Chicago Manual of Style (16th Edition):

Stanke, Luke. “Modeling Item Features that Characterize Measurement Bias.” 2016. Doctoral Dissertation, University of Minnesota. Accessed January 27, 2020. http://hdl.handle.net/11299/182752.

MLA Handbook (7th Edition):

Stanke, Luke. “Modeling Item Features that Characterize Measurement Bias.” 2016. Web. 27 Jan 2020.

Vancouver:

Stanke L. Modeling Item Features that Characterize Measurement Bias. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/11299/182752.

Council of Science Editors:

Stanke L. Modeling Item Features that Characterize Measurement Bias. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182752


University of St. Andrews

10. Kidney, Darren. Random coeffcient models for complex longitudinal data .

Degree: 2014, University of St. Andrews

 Longitudinal data are common in biological research. However, real data sets vary considerably in terms of their structure and complexity and present many challenges for… (more)

Subjects/Keywords: Random effects; Mixed effects models; Autocorrelation; Spatially explicit capture-recapture; SECR; Availability

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APA (6th Edition):

Kidney, D. (2014). Random coeffcient models for complex longitudinal data . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/6386

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):

Kidney, Darren. “Random coeffcient models for complex longitudinal data .” 2014. Thesis, University of St. Andrews. Accessed January 27, 2020. http://hdl.handle.net/10023/6386.

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

MLA Handbook (7th Edition):

Kidney, Darren. “Random coeffcient models for complex longitudinal data .” 2014. Web. 27 Jan 2020.

Vancouver:

Kidney D. Random coeffcient models for complex longitudinal data . [Internet] [Thesis]. University of St. Andrews; 2014. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/10023/6386.

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

Council of Science Editors:

Kidney D. Random coeffcient models for complex longitudinal data . [Thesis]. University of St. Andrews; 2014. Available from: http://hdl.handle.net/10023/6386

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


University of Texas – Austin

11. Park, Sunyoung, Ph. D. in educational psychology. Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit.

Degree: PhD, Educational Psychology, 2018, University of Texas – Austin

 The current dissertation, composed of two studies, focused on the models that handle several data structure complexities simultaneously. The first study introduced and evaluated Markov… (more)

Subjects/Keywords: Multivariate multiple-membership random effects models; MCMC estimation; DIC; Missingness

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APA (6th Edition):

Park, Sunyoung, P. D. i. e. p. (2018). Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68167

Chicago Manual of Style (16th Edition):

Park, Sunyoung, Ph D in educational psychology. “Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 27, 2020. http://hdl.handle.net/2152/68167.

MLA Handbook (7th Edition):

Park, Sunyoung, Ph D in educational psychology. “Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit.” 2018. Web. 27 Jan 2020.

Vancouver:

Park, Sunyoung PDiep. Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2152/68167.

Council of Science Editors:

Park, Sunyoung PDiep. Multivariate multiple-membership random effects models : a demonstration and assessment of model estimation and fit. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68167


University of Pennsylvania

12. Weinstein, Asaf. Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design.

Degree: 2015, University of Pennsylvania

 The James-Stein estimator and its Bayesian interpretation demonstrated the usefulness of empirical Bayes methods in facilitating competitive shrinkage estimators for multivariate problems consisting of nonrandom… (more)

Subjects/Keywords: Compound Decision; Cross-Classified Models; Decision Theory; Empirical Bayes; Heteroscedasticity; Shrinkage Estimation; Statistics and Probability

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APA (6th Edition):

Weinstein, A. (2015). Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2091

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):

Weinstein, Asaf. “Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design.” 2015. Thesis, University of Pennsylvania. Accessed January 27, 2020. https://repository.upenn.edu/edissertations/2091.

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

MLA Handbook (7th Edition):

Weinstein, Asaf. “Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design.” 2015. Web. 27 Jan 2020.

Vancouver:

Weinstein A. Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design. [Internet] [Thesis]. University of Pennsylvania; 2015. [cited 2020 Jan 27]. Available from: https://repository.upenn.edu/edissertations/2091.

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

Council of Science Editors:

Weinstein A. Empirical Bayes Estimation in Cross-Classified Gaussian Models With Unbalanced Design. [Thesis]. University of Pennsylvania; 2015. Available from: https://repository.upenn.edu/edissertations/2091

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


Rice University

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

Degree: PhD, Engineering, 2016, Rice University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Narayan, Manjari. “Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics.” 2016. Doctoral Dissertation, Rice University. Accessed January 27, 2020. http://hdl.handle.net/1911/95213.

MLA Handbook (7th Edition):

Narayan, Manjari. “Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics.” 2016. Web. 27 Jan 2020.

Vancouver:

Narayan M. Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics. [Internet] [Doctoral dissertation]. Rice University; 2016. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1911/95213.

Council of Science Editors:

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


Cornell University

14. Morris, Darcy. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .

Degree: 2012, Cornell University

 Quality and quantity of social science data is continually improving, from large publicuse survey microdata to private industry data. This wealth of data allows researchers… (more)

Subjects/Keywords: Random Effects Models; Unobserved; Heterogeneity; Count Data; Duration; Data; Longitudinal Data Analysis.

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APA (6th Edition):

Morris, D. (2012). Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/31012

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):

Morris, Darcy. “Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .” 2012. Thesis, Cornell University. Accessed January 27, 2020. http://hdl.handle.net/1813/31012.

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

MLA Handbook (7th Edition):

Morris, Darcy. “Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .” 2012. Web. 27 Jan 2020.

Vancouver:

Morris D. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . [Internet] [Thesis]. Cornell University; 2012. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1813/31012.

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

Council of Science Editors:

Morris D. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31012

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


University of Manitoba

15. Kamso, Mohammed Mujaab. Network meta-analysis using Bayesian methods and some diagnostics.

Degree: Statistics, 2018, University of Manitoba

 Network meta-analysis (NMA) also known as mixed treatment or multiple treatment comparisons, is commonly used to incorporate direct and indirect evidence comparing treatments. This is… (more)

Subjects/Keywords: Inconsistency; Meta-analysis; Markov Chain Monte Carlo (MCMC) and Random effects models

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APA (6th Edition):

Kamso, M. M. (2018). Network meta-analysis using Bayesian methods and some diagnostics. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33227

Chicago Manual of Style (16th Edition):

Kamso, Mohammed Mujaab. “Network meta-analysis using Bayesian methods and some diagnostics.” 2018. Masters Thesis, University of Manitoba. Accessed January 27, 2020. http://hdl.handle.net/1993/33227.

MLA Handbook (7th Edition):

Kamso, Mohammed Mujaab. “Network meta-analysis using Bayesian methods and some diagnostics.” 2018. Web. 27 Jan 2020.

Vancouver:

Kamso MM. Network meta-analysis using Bayesian methods and some diagnostics. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1993/33227.

Council of Science Editors:

Kamso MM. Network meta-analysis using Bayesian methods and some diagnostics. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33227


Arizona State University

16. Yu, Wanchunzi. A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves.

Degree: Statistics, 2015, Arizona State University

 Quadratic growth curves of 2nd degree polynomial are widely used in longitudinal studies. For a 2nd degree polynomial, the vertex represents the location of the… (more)

Subjects/Keywords: Statistics; Confidence Set; Mixed Models; Power Analysis; Quadratic Growth Curves; Random Effects; Vertex

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

APA (6th Edition):

Yu, W. (2015). A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/34791

Chicago Manual of Style (16th Edition):

Yu, Wanchunzi. “A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves.” 2015. Doctoral Dissertation, Arizona State University. Accessed January 27, 2020. http://repository.asu.edu/items/34791.

MLA Handbook (7th Edition):

Yu, Wanchunzi. “A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves.” 2015. Web. 27 Jan 2020.

Vancouver:

Yu W. A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2020 Jan 27]. Available from: http://repository.asu.edu/items/34791.

Council of Science Editors:

Yu W. A Test and Confidence Set for Comparing the Location of Quadratic Growth Curves. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/34791


University of Notre Dame

17. Guillermo Montt. Socioeconomic school composition effects on student outcomes</h1>.

Degree: PhD, Sociology, 2012, University of Notre Dame

  Research in the sociology of education has long identified that school socioeconomic composition is the most important school-level attribute in explaining student outcomes, and… (more)

Subjects/Keywords: composition effects; socioeconomic status; frog-pond effects; comparative education; PISA; cross-national education; integration; self-concept; educational achievement; multi-level models; contagion effects; mixed-effects models; expectations

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

APA (6th Edition):

Montt, G. (2012). Socioeconomic school composition effects on student outcomes</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/sn009w05g5g

Chicago Manual of Style (16th Edition):

Montt, Guillermo. “Socioeconomic school composition effects on student outcomes</h1>.” 2012. Doctoral Dissertation, University of Notre Dame. Accessed January 27, 2020. https://curate.nd.edu/show/sn009w05g5g.

MLA Handbook (7th Edition):

Montt, Guillermo. “Socioeconomic school composition effects on student outcomes</h1>.” 2012. Web. 27 Jan 2020.

Vancouver:

Montt G. Socioeconomic school composition effects on student outcomes</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2012. [cited 2020 Jan 27]. Available from: https://curate.nd.edu/show/sn009w05g5g.

Council of Science Editors:

Montt G. Socioeconomic school composition effects on student outcomes</h1>. [Doctoral Dissertation]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/sn009w05g5g


University of the Western Cape

18. Galal, Ushma. The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families .

Degree: 2010, University of the Western Cape

 Traditionally in human genetic linkage analysis, extended families were only used in the analysis of dichotomous traits, such as Disease/No Disease. For quantitative traits, analyses… (more)

Subjects/Keywords: Fixed effects; Variance-components; Random effects; Mixed-models; Genetics; Inherited traits; Family studies; Extended pedigrees; Statistical genetics; Linkage analysis

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

APA (6th Edition):

Galal, U. (2010). The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/1451

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):

Galal, Ushma. “The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families .” 2010. Thesis, University of the Western Cape. Accessed January 27, 2020. http://hdl.handle.net/11394/1451.

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

MLA Handbook (7th Edition):

Galal, Ushma. “The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families .” 2010. Web. 27 Jan 2020.

Vancouver:

Galal U. The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/11394/1451.

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

Council of Science Editors:

Galal U. The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/1451

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


University of Michigan

19. Xia, Rong. Statistical Issues in the Analysis of Correlated Data.

Degree: PhD, Biostatistics, 2015, University of Michigan

 We first extend the original classification and regression trees (CART) paradigm (Breiman et al. 1984) to clustered binary outcomes, where individuals within a cluster are… (more)

Subjects/Keywords: correlated data; tree-based methods; residuals; linear mixed effects models; random effects; covariance model selection; Public Health; Health Sciences

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

APA (6th Edition):

Xia, R. (2015). Statistical Issues in the Analysis of Correlated Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116687

Chicago Manual of Style (16th Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 27, 2020. http://hdl.handle.net/2027.42/116687.

MLA Handbook (7th Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Web. 27 Jan 2020.

Vancouver:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2027.42/116687.

Council of Science Editors:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116687

20. Ospina Arango, Juan David. Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie.

Degree: Docteur es, Traitement du signal et télécommunications, 2014, Rennes 1; Universidad nacional de Colombia

La radiothérapie externe (EBRT en anglais pour External Beam Radiotherapy) est l'un des traitements référence du cancer de prostate. Les objectifs de la radiothérapie sont,… (more)

Subjects/Keywords: Radiothérapie prostatique; Effets secondaires; Modèles prédictifs; Forêts aléatoires; Modèles d'effets mélangés; Modèles non paramétriques; Prostate radiotherapy; Side effects; Predictive models, random forest; Mixed-effects models; Non parametric models

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

APA (6th Edition):

Ospina Arango, J. D. (2014). Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie. (Doctoral Dissertation). Rennes 1; Universidad nacional de Colombia. Retrieved from http://www.theses.fr/2014REN1S046

Chicago Manual of Style (16th Edition):

Ospina Arango, Juan David. “Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie.” 2014. Doctoral Dissertation, Rennes 1; Universidad nacional de Colombia. Accessed January 27, 2020. http://www.theses.fr/2014REN1S046.

MLA Handbook (7th Edition):

Ospina Arango, Juan David. “Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie.” 2014. Web. 27 Jan 2020.

Vancouver:

Ospina Arango JD. Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie. [Internet] [Doctoral dissertation]. Rennes 1; Universidad nacional de Colombia; 2014. [cited 2020 Jan 27]. Available from: http://www.theses.fr/2014REN1S046.

Council of Science Editors:

Ospina Arango JD. Predictive models for side effects following radiotherapy for prostate cancer : Modèles prédictifs pour les effets secondaires du traitement du cancer de la prostate par radiothérapie. [Doctoral Dissertation]. Rennes 1; Universidad nacional de Colombia; 2014. Available from: http://www.theses.fr/2014REN1S046


Louisiana State University

21. Zhou, Marvellous Mabeza. Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data.

Degree: PhD, 2009, Louisiana State University

 Early generation selection of sugarcane families using means is inadequate while visual seedling selection is subjective and inefficient. Data from advanced variety trials (yield, quality… (more)

Subjects/Keywords: log linear models; cross resistance; sugarcane borer; mexican rice borer; multivariate repeated measures; seedling selection; logistic regression models; neural network models; family evaluation; random coefficient models

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

APA (6th Edition):

Zhou, M. M. (2009). Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-07062009-095040 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1177

Chicago Manual of Style (16th Edition):

Zhou, Marvellous Mabeza. “Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data.” 2009. Doctoral Dissertation, Louisiana State University. Accessed January 27, 2020. etd-07062009-095040 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1177.

MLA Handbook (7th Edition):

Zhou, Marvellous Mabeza. “Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data.” 2009. Web. 27 Jan 2020.

Vancouver:

Zhou MM. Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data. [Internet] [Doctoral dissertation]. Louisiana State University; 2009. [cited 2020 Jan 27]. Available from: etd-07062009-095040 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1177.

Council of Science Editors:

Zhou MM. Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data. [Doctoral Dissertation]. Louisiana State University; 2009. Available from: etd-07062009-095040 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1177

22. Lora, Mayra Ivanoff. Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas.

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

Em Lora e Singer (Statistics in Medicine, 2008), propusemos um modelo Beta- Binomial/Poisson p-variado para análise dos dados provenientes de um estudo que consistiu em… (more)

Subjects/Keywords: bivariate counts; contagens bivariadas; dados longitudinais; efeitos aleatórios; longitudinal data; modelos de regressão; overdispersion; random effects; regression models; sobredispersão

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APA (6th Edition):

Lora, M. I. (2008). Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082009-120419/ ;

Chicago Manual of Style (16th Edition):

Lora, Mayra Ivanoff. “Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas.” 2008. Doctoral Dissertation, University of São Paulo. Accessed January 27, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082009-120419/ ;.

MLA Handbook (7th Edition):

Lora, Mayra Ivanoff. “Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas.” 2008. Web. 27 Jan 2020.

Vancouver:

Lora MI. Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas. [Internet] [Doctoral dissertation]. University of São Paulo; 2008. [cited 2020 Jan 27]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082009-120419/ ;.

Council of Science Editors:

Lora MI. Modelos Beta-Binomial/Poisson-Gama para contagens bivariadas repetidas. [Doctoral Dissertation]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082009-120419/ ;

23. Negeri, Zelalem. Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies.

Degree: PhD, 2019, McMaster University

Meta-analysis is a popular statistical method that synthesizes evidence from multiple studies. Conventionally, both the hierarchical and bivariate models for meta-analysis of diagnostic test accuracy… (more)

Subjects/Keywords: Statistical methods; meta-analysis; diagnostic test accuracy studies; outlying studies; influential studies; skewness; random-effects model; robust models; sensitivity; specificity

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

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

APA (6th Edition):

Negeri, Z. (2019). Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24723

Chicago Manual of Style (16th Edition):

Negeri, Zelalem. “Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies.” 2019. Doctoral Dissertation, McMaster University. Accessed January 27, 2020. http://hdl.handle.net/11375/24723.

MLA Handbook (7th Edition):

Negeri, Zelalem. “Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies.” 2019. Web. 27 Jan 2020.

Vancouver:

Negeri Z. Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/11375/24723.

Council of Science Editors:

Negeri Z. Contributions to statistical methods for meta-analysis of diagnostic test accuracy studies. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24723


Loughborough University

24. Chaudhry, Alqaas. Macroeconomic impact of remittances in developing economies.

Degree: PhD, 2019, Loughborough University

 This thesis examines the macroeconomic impact of remittances in developing economies, using data from 1990 to 2016. Despite poverty-reducing and welfare-enhancing characteristics for recipient households,… (more)

Subjects/Keywords: Economics not elsewhere classified; Remittances; Developing economies; Economic growth; Macroeconomic policy; Fiscal cyclicality; Financial development; Dutch Disease effects; Panel data models; PVAR analysis

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

APA (6th Edition):

Chaudhry, A. (2019). Macroeconomic impact of remittances in developing economies. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/37658

Chicago Manual of Style (16th Edition):

Chaudhry, Alqaas. “Macroeconomic impact of remittances in developing economies.” 2019. Doctoral Dissertation, Loughborough University. Accessed January 27, 2020. http://hdl.handle.net/2134/37658.

MLA Handbook (7th Edition):

Chaudhry, Alqaas. “Macroeconomic impact of remittances in developing economies.” 2019. Web. 27 Jan 2020.

Vancouver:

Chaudhry A. Macroeconomic impact of remittances in developing economies. [Internet] [Doctoral dissertation]. Loughborough University; 2019. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/2134/37658.

Council of Science Editors:

Chaudhry A. Macroeconomic impact of remittances in developing economies. [Doctoral Dissertation]. Loughborough University; 2019. Available from: http://hdl.handle.net/2134/37658


University of Florida

25. Shi, Jiangli. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.

Degree: PhD, Mathematics, 2013, University of Florida

 A series of mathematical models for image registrations are investigated in this work to provide a variety of techniques especially for medical image alignment. Analysis… (more)

Subjects/Keywords: Coordinate transformations; Cross correlation; Entropy; Image processing; Images of transformations; Linear transformations; Parametric models; Random variables; Sine function; Statistical models; dependence  – image  – measure  – registration  – segmentation  – statistical

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

APA (6th Edition):

Shi, J. (2013). Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045845

Chicago Manual of Style (16th Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Doctoral Dissertation, University of Florida. Accessed January 27, 2020. http://ufdc.ufl.edu/UFE0045845.

MLA Handbook (7th Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Web. 27 Jan 2020.

Vancouver:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Jan 27]. Available from: http://ufdc.ufl.edu/UFE0045845.

Council of Science Editors:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045845


California State University – Sacramento

26. Boyce, Jacob Aaron. International determinants of software piracy.

Degree: MA, Economics, 2011, California State University – Sacramento

 As life becomes increasingly more digital, copying and distributing lossless copies of copyrighted material is quicker and simpler than ever. For the owners and producers… (more)

Subjects/Keywords: Panel regression; Country fixed effects; Time fixed effects; Two-way fixed effects; Random effects

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APA (6th Edition):

Boyce, J. A. (2011). International determinants of software piracy. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1087

Chicago Manual of Style (16th Edition):

Boyce, Jacob Aaron. “International determinants of software piracy.” 2011. Masters Thesis, California State University – Sacramento. Accessed January 27, 2020. http://hdl.handle.net/10211.9/1087.

MLA Handbook (7th Edition):

Boyce, Jacob Aaron. “International determinants of software piracy.” 2011. Web. 27 Jan 2020.

Vancouver:

Boyce JA. International determinants of software piracy. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/10211.9/1087.

Council of Science Editors:

Boyce JA. International determinants of software piracy. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1087

27. Ren, Weijia. Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored.

Degree: PhD, EDU Policy and Leadership, 2011, The Ohio State University

  In education and other social science research, researchers often encounter data with multilevel structures. Over the past two decades, hierarchical linear models (HLMs) have… (more)

Subjects/Keywords: Educational Evaluation; Statistics; cross-classified random effect model; estimation methods; simulation

…Instead, cross-classified random effects models (CCREMs) have been developed to… …2.2 Cross-Classified Random Effect Models… …20 2.2.4 Cross-Classified Random Effects Modeling for Dichotomous Outcomes ....... 23 2.2.5… …investigating the potential factors affecting the need to use a cross-classified random effects… …O’Connell, 2010; Vonesh, 1996). 2.2 Cross-Classified Random Effect Models 2.2.1 Cross… 

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APA (6th Edition):

Ren, W. (2011). Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1322538958

Chicago Manual of Style (16th Edition):

Ren, Weijia. “Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored.” 2011. Doctoral Dissertation, The Ohio State University. Accessed January 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322538958.

MLA Handbook (7th Edition):

Ren, Weijia. “Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored.” 2011. Web. 27 Jan 2020.

Vancouver:

Ren W. Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2020 Jan 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1322538958.

Council of Science Editors:

Ren W. Impact of Design Features for Cross-Classified Logistic Models When the Cross-Classification Structure Is Ignored. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1322538958


Université de Montréal

28. Thibodeau, Lise. Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques .

Degree: 2015, Université de Montréal

 Depuis deux siècles, les transformations les plus remarquables de la mortalité par suicide concernent la relation avec la variable âge. En particulier, Durkheim (2002 [1897])… (more)

Subjects/Keywords: Suicide; Canada; Québec; Durkheim; Démographie; Sociologie; Économie; Age-Période-Cohorte (APC); Intrinsic Estimator (IE); Hierarchical Age-Period-Cohort Cross-Classified Random Effect Model (HAPC-CCREM); AutoRegressive Integrated Moving Average (ARIMA); Quebec; Demography; Sociology; Economy; Age-Periode-Cohort (APC)

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APA (6th Edition):

Thibodeau, L. (2015). Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/12329

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):

Thibodeau, Lise. “Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques .” 2015. Thesis, Université de Montréal. Accessed January 27, 2020. http://hdl.handle.net/1866/12329.

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

MLA Handbook (7th Edition):

Thibodeau, Lise. “Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques .” 2015. Web. 27 Jan 2020.

Vancouver:

Thibodeau L. Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques . [Internet] [Thesis]. Université de Montréal; 2015. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1866/12329.

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

Council of Science Editors:

Thibodeau L. Mortalité par suicide au Canada depuis le début du XXe siècle : perspectives sociodémographiques et macroéconomiques . [Thesis]. Université de Montréal; 2015. Available from: http://hdl.handle.net/1866/12329

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


Texas A&M University

29. Davis, Cole. A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009.

Degree: 2012, Texas A&M University

 School-based problem-solving consultation is an indirect problem-solving process where the consultant works directly with the teacher in order to solve a current work problem of… (more)

Subjects/Keywords: consultation; meta-analysis; school; random-effects

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APA (6th Edition):

Davis, C. (2012). A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11415

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):

Davis, Cole. “A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009.” 2012. Thesis, Texas A&M University. Accessed January 27, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11415.

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

MLA Handbook (7th Edition):

Davis, Cole. “A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009.” 2012. Web. 27 Jan 2020.

Vancouver:

Davis C. A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11415.

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

Council of Science Editors:

Davis C. A Meta-Analysis of School-Based Problem-Solving Consultation Outcomes: A Review from 1986 to 2009. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11415

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


University of Rochester

30. Voleti, Sudhir (1977 - ). Estimating brand equity from aggregate data.

Degree: PhD, 2009, University of Rochester

 Brands are now widely recognized as among a firm’s most valuable assets. Hence the assessment of the value or equity of brand assets has attracted… (more)

Subjects/Keywords: Brand equity; Random effects; Bayesian estimation

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APA (6th Edition):

Voleti, S. (. -. ). (2009). Estimating brand equity from aggregate data. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/7838

Chicago Manual of Style (16th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Doctoral Dissertation, University of Rochester. Accessed January 27, 2020. http://hdl.handle.net/1802/7838.

MLA Handbook (7th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Web. 27 Jan 2020.

Vancouver:

Voleti S(-). Estimating brand equity from aggregate data. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1802/7838.

Council of Science Editors:

Voleti S(-). Estimating brand equity from aggregate data. [Doctoral Dissertation]. University of Rochester; 2009. Available from: http://hdl.handle.net/1802/7838

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