Analyzes multiresponse linear models where several responses can be of interest.Covers the analysis of balanced linear models using direct products of matrices.Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices.The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra. This is a textbook for advanced undergraduate and first-year graduate level courses in statistics and other related disciplines. Khuri, who has extensive research and teaching experience in the field, joins this edition as co-author. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of MATLAB for the execution of matrix computations. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Matrix Algebra Useful for Statistics addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole.
