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Linear Models in Statistics, 2nd Edition
Alvin C. Rencher,
Brigham Young Univ., Provo, Utah
G. Bruce Schaalje,
Brigham Young Univ., Provo, UT
ISBN: 978-0-471-75498-5
©2008
688 pages
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Description
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The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed.
Real data sets in most examples are available as downloadable files at an .ftp site http://statistics.byu.edu/schaalje
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