Linear and Generalized Linear Mixed Models and Their Applications
Now in its second edition, this book covers two major classes of mixed effects models-linear mixed models and generalized linear mixed models-and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the fir…
Read More ↓Title Statements
- Full title :Linear and Generalized Linear Mixed Models and Their Applications / Jiming Jiang [aut]; Thuan Nguyen [aut]
Summary
Now in its second edition, this book covers two major classes of mixed effects models-linear mixed models and generalized linear mixed models-and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics. This book is suitable for students, researchers, and practitioners who are interested in using mixed models for statistical data analysis with public health applications. It is best for graduate courses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear algebra.
Read More ↓Edition Statements
- Publication Date:2021
- Edition:2nd ed. 2021
Publication Statements
- Publisher(s):Springer
- Place of Publication:New York, NY
- Language:eng
- Publication Date:2021
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781071612828, 1071612824, 9781071612835, 1071612832, 9781071612842, 1071612840, 9781071612811, 1071612816
- DOI:10.1007/978-1-0716-1282-8
- oclc:on1346761800
Table of Contents
1. Linear Mixed Models: Part I -- 2. Linear Mixed Models: Part II -- 3. Generalized Linear Mixed Models: Part I -- 4. Generalized Linear Mixed Models: Part II.
Read More ↓Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Introduction to numerical analysis
Numerical Methods for Engineers and Scientists Using MATLAB®, Second Edition
Esfandiari, Ramin S.
Practical MATLAB Modeling with Simulink: Programming and Simulating Ordinary and…
Eshkabilov, Sulaymon L.
Numerical analysis for scientists and engineers: theory and C programs
Pal, Madhumangal
Rate & Review