Linear and Generalized Linear Mixed Models and Their Applications (Hardcover, 2007 ed.)

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. 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 includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	March 2007
First published:	2007
Authors:	Jiming Jiang
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	257
Edition:	2007 ed.
ISBN-13:	978-0-387-47941-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-47941-4
Barcode:	9780387479415

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