Linear and Generalized Linear Mixed Models and Their Applications
Publication year: 2007
ISBN: 978-0-387-47946-0
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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. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it has included recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.
Subject: Mathematics and Statistics, Regression analysis, data analysis, generalized linear mixed models, linear mixed models, linear optimization, mathematical statistics, model selection, prediction, random effects
