Generalized Linear Models with Random Effects (2nd Ed.) Unified Analysis via H-likelihood, Second Edition Chapman & Hall/CRC Monographs on Statistics and Applied Probability Series
Auteurs : Lee Youngjo, Nelder John A., Pawitan Yudi
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.
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
Youngjo Leeis Professor at Seoul National University, South Korea.
Date de parution : 06-2021
15.2x22.9 cm
Date de parution : 07-2017
15.2x22.9 cm
Thème de Generalized Linear Models with Random Effects :
Mots-clés :
Adjusted Profile Likelihood; St Im; Random Effect Models; Linear Predictor; Dispersion Parameters; Extended Likelihood; Mixed Linear Model; IWLS Algorithm; Canonical Scale; HGLM Model; REML Estimator; Frailty Models; Normal Probability Plot; Discrete Random Effects; Predictive Probabilities; EQL; Data Set; Joint Maximization; Classical Likelihood; Marginal Likelihood; Profile Likelihood; Log Ui; Ml Estimator; Deviance Residual; Marginal Loglihood