## Description

**A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout**

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:

- Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices
- Covers the analysis of balanced linear models using direct products of matrices
- Analyzes multiresponse linear models where several responses can be of interest
- Includes extensive use of SAS, MATLAB, and R throughout
- Contains over 400 examples and exercises to reinforce understanding along with select solutions
- Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes

*Matrix Algebra Useful for Statistics, Second Edition *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.

**THE LATE SHAYLE R. SEARLE, PHD, **was professor emeritus of biometry at Cornell University. He was the author of *Linear Models for Unbalanced Data *and *Linear Models *and co-author of *Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, *and *Variance Components, *all published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand.

**ANDRÉ I. KHURI, PHD, **is Professor Emeritus of Statistics at the University of Florida. He is the author of *Advanced Calculus with Applications in Statistics, Second Edition *and co-author of *Statistical Tests for Mixed Linear Models, *all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.