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| Publisher | Wiley |
| Author | George a. F. Seber |
| Language | English |
| Editorial Review | "...an excellent introduction to statistical inference in the Multivariate Linear Model...it is a real achievement to discuss so many different topics in a single book of medium size." ( ISCB News , December 2006) "The book...by George A. F. Server is [an] example of how a book should be written." ( Journal of Statistical Computation and Simulation , March 2006) |
| Number of Pages | 686 |
| ISBN 13 | 9780471691211 |
| Book Format | Paperback |
| Book Description | This up-to-date, comprehensive sourcebook treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. Includes many numerical examples, and over 1,100 references. |
| About the Author | GEORGE A. F. SEBER is a Professor in the Department of Statistics at The University of Auckland in New Zealand. |
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