ENGLISH

Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics)

By Jiming Jiang

Book information

Publisher
Springer
Year
2007
ISBN
0387479414, 9780387479415
Open Library ID
OL7445904M
Language
english
Format
PDF
Filesize
2 MB (1974980 bytes)
Series
Springer Series in Statistics
Edition
1
Pages
268\268
Scanned
no
Time added
2012-03-17 06:00:00

Description

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.

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