Generalized, Linear, and Mixed Models, Vol. 1

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Generalized, Linear, and Mixed Models,...

Generalized, Linear, and Mixed Models, Vol. 1

Name: Generalized, Linear, and Mixed Models, Vol. 1
ISBN: 9780471193647

Charles E. McCulloch, Shayle R. Searle

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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.

种类:

Mathematics

年:

2001

出版:

出版社:

Wiley-Interscience

语言:

english

页:

358

ISBN 10: