Original PDF Ebook – Matrix Algebra Useful for Statistics2nd Edition – 9781118935149

Original PDF Ebook – Matrix Algebra Useful for Statistics2nd Edition – 9781118935149

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout_x000D_
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:_x000D_
Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices_x000D_
Covers the analysis of balanced linear models using direct products of matrices_x000D_
Analyzes multiresponse linear models where several responses can be of interest_x000D_
Includes extensive use of SAS, MATLAB, and R throughout_x000D_
Contains over 400 examples and exercises to reinforce understanding along with select solutions_x000D_
Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes_x000D_
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._x000D_
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.