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Catalogue Information
Field name	Details
Dewey Class	570.15195
Title	Linear and Generalized Linear Mixed Models and Their Applications ([EBook] /) / by Jiming Jiang, Thuan Nguyen.
Author	Jiang, Jiming
Added Personal Name	Nguyen, Thuan
Other name(s)	SpringerLink (Online service)
Edition statement	2nd ed. 2021.
Publication	New York, NY : : Springer New York : : Imprint: Springer, , 2021.
Physical Details	XIV, 343 p. 13 illus., 8 illus. in color. : online resource.
Series	Springer Series in Statistics 2197-568X
ISBN	9781071612828
Summary Note	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.:
Contents note	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.
Mode of acces to digital resource	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-1-0716-1282-8
Links to Related Works	Subject References: Biometry . Biostatistics . Numerical Analysis . Population Genetics . Probabilities . Probability Theory . Public Health . Statistical Theory and Methods . Statistics . Authors: author . Jiang, Jiming . Nguyen, Thuan . Corporate Authors: SpringerLink (Online service) . Series: Springer Series in Statistics . Classification: 570.15195 .

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Linear and Generalized Linear Mixed Models and Their Applications

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