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Linear and Generalized Linear Mixed Models and Their Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Linear and Generalized Linear Mixed Models and Their Applications/ by Jiming Jiang, Thuan Nguyen.
Author:	Jiang, Jiming.
other author:	Nguyen, Thuan.
Description:	XIV, 343 p. 13 illus., 8 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-1-0716-1282-8
ISBN:	9781071612828

Linear and Generalized Linear Mixed Models and Their Applications
Jiang, Jiming.

Linear and Generalized Linear Mixed Models and Their Applications[electronic resource] /by Jiming Jiang, Thuan Nguyen. - 2nd ed. 2021. - XIV, 343 p. 13 illus., 8 illus. in color.online resource. - Springer Series in Statistics,2197-568X. - Springer Series in Statistics,.

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.

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.

ISBN: 9781071612828

Standard No.: 10.1007/978-1-0716-1282-8doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Linear and Generalized Linear Mixed Models and Their Applications
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