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(Ebook) Generalized, Linear, and Mixed Models, Vol. 1 by Charles E. McCulloch, Shayle R. Searle ISBN 9780471193647, 047119364X

  • SKU: EBN-979290
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Authors:Charles E. McCulloch, Shayle R. Searle
Pages:358 pages.
Year:2001
Editon:1
Publisher:Wiley-Interscience
Language:english
File Size:13.79 MB
Format:pdf
ISBNS:9780471193647, 047119364X
Categories: Ebooks

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(Ebook) Generalized, Linear, and Mixed Models, Vol. 1 by Charles E. McCulloch, Shayle R. Searle ISBN 9780471193647, 047119364X

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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