Generalized Linear Models with Random Effects

Unified Analysis via H-likelihood, Second Edition

Häftad, Engelska, 2021

Av Youngjo Lee, John A. Nelder, Yudi Pawitan

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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.

Produktinformation

Utgivningsdatum2021-06-30
Mått152 x 229 x 25 mm
Vikt860 g
FormatHäftad
SpråkEngelska
SerieChapman & Hall/CRC Monographs on Statistics and Applied Probability
Antal sidor466
Upplaga2
FörlagTaylor & Francis Ltd
ISBN9781032096636

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Preface to the first editionPrefaceIntroductionClassical likelihood theoryGenerlized linear modelsQuasi-likelihoodExtended likelihood inferencesNormal linear mixed modelsHierarchical GLMSHGLMs with structured dispersionCorrelated randoms effects for HGLMsSmoothingDouble HGLMsVariable Selection and Sparsity ModelsMultivariate and Missing Data AnalysisMultiple testingReferencesData indexAuthor indexSubject index

"Generalized Linear Models with Random Effects is a comprehensive book on likelihood methods in generalized linear models (GLMs) including linear models with normally distributed errors. … The book is suitable for those with graduate training in mathematical statistics. The level of mathematical detail is similar to that of McCullagh and Nelder (1989), with the focus shifted towards likelihood methods. All chapters contain examples with a fair amount of detail. The book is very broad and offers a comprehensive overview of likelihood methods."—Christiana Drake, in ISCB News, December 2018Praise for the first edition:"… This book provides a comprehensive summary of [the authors' past work]. However, it is much more than that, and even statisticians who do not agree with their approach to inference will find much here of interest. … some instructors might find this to be a useful text for a course on generalized linear models. … there are many ideas that will be useful for students to mull over …"– A. Agresti (University of Florida), Short Book Reviews"The book is well written and replete with examples and discussions. With over 500 references, the authors have amassed an enormous amount of information in a single source." – James W. Hardin, University of South Carolina, in Journal of the American Statistical Association, June 2009, Vol. 104, No. 486"The book’s material is valuable . . . There are numerous examples and applications, illustrated on the accompanying Genstat CD." – Hassan S. Bakouch, Tanta University, in Journal of Applied Statistics, September 2007, Vol. 34, No. 7