Matrix Algebra Useful for Statistics

The purpose of this book is to bring a broad spectrum of readers' knowledge of matrix algebra that is useful in the statistical analysis of data and in statistics generally. The material is presented in an explanatory style rather than the formal theorem-proof format. Written in such a way as to be [...]
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The purpose of this book is to bring a broad spectrum of readers' knowledge of matrix algebra that is useful in the statistical analysis of data and in statistics generally. The material is presented in an explanatory style rather than the formal theorem-proof format. Written in such a way as to be self-contained, this text includes numerous applied illustrations, numerical examples, and exercises, now augmented in its first revision in over 30 years with computer discussions of SAS, Matlab, and R. Also new to this edition is the addition of a co-author who has had extensive research and teaching experience in the subject matter; a slightly reorganized chapter sequence to ease discussion; historical interludes when appropriate; more applied real-time examples; and selected hints and solutions to exercises at the rear of the book.