This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The authors emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate- level course. All of the standard topics are covered in depth. In addition, the book covers topics that are not usually treated at this level, but which are important in their own right. The author, Ronald Christensen, is a Professor of Statistics at the University of New Mexico.
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From the reviews of the fourth edition:
"Researchers and students interested in linear statistical models. ... I admire Christensen's very personal and somehow easy-going writing style. ... All in all, Christensen's fourth edition is an excellent course and reference book ... ." (Simo Puntanen, International Statistical Review, Vol. 79 (3), 2011)
"Researchers and students interested in linear statistical models. ... I admire Christensen's very personal and somehow easy-going writing style. ... All in all, Christensen's fourth edition is an excellent course and reference book ... ." (Simo Puntanen, International Statistical Review, Vol. 79 (3), 2011)