Publisher’s description: This second edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. The second edition also:

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contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices

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covers the analysis of balanced linear models using direct products of matrices

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analyzes multiresponse linear models where several responses can be of interest

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includes extensive use of SAS, MATLAB, and R throughout

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contains over 400 examples and exercises to reinforce understanding along with select solutions

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includes plentiful new illustrations depicting the importance of geometry as well as historical interludes

This is an ideal textbook for advanced undergraduate and first-year graduate level courses in statistics and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra.
For the 1st edition see [Zbl 0555.62002]. For the 2006 reprint edition see [Zbl 1115.62006].