ENGLISH

Generalized, Linear, and Mixed Models, Vol. 1

By Charles E. McCulloch , Shayle R. Searle

Book information

Publisher
Wiley-Interscience
Year
2001
ISBN
9780471193647, 0-471-19364-X
Open Library ID
OL17004524M
Language
english
Format
PDF
Filesize
14 MB (14454637 bytes)
Series
Wiley Series in Probability and Statistics
Edition
1
Pages
358\358
Library
mexmat
Time added
2009-07-20 03:45:11

Description

For graduate students and practicing statisticians, McCulloch (biostatistics, U. of California-San Francisco) and Searle (biometry, Cornell U.) begin by reviewing the basics of linear models and linear mixed models, in which the variance structure is based on random effects and their variance components. Then they head into the more difficult terrain of generalized linear models, generalized linear mixed models, and even some nonlinear models. The early chapters could provide a core for a one-quarter or one-semester course, or part of a course on linear models.

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