Generalized linear models with random effects : unified analysis via h-likelihood

著者

書誌事項

Generalized linear models with random effects : unified analysis via h-likelihood

Youngjo Lee, John A. Nelder, Yudi Pawitan

(Monographs on statistics and applied probability, 153)

CRC Press, c2017

2nd ed

  • : hardback

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注記

"A Chapman & Hall book"

Includes bibliographical references (p. 407-426) and indexes

内容説明・目次

内容説明

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.

目次

Preface to the first edition Preface Introduction Classical likelihood theory Generlized linear models Quasi-likelihood Extended likelihood inferences Normal linear mixed models Hierarchical GLMS HGLMs with structured dispersion Correlated randoms effects for HGLMs Smoothing Double HGLMs Variable Selection and Sparsity Models Multivariate and Missing Data Analysis Multiple testing References Data index Author index Subject index

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