Our object in writing this book is to present the main results of the modern theory of multivariate statistics to an audience of advanced students who would appreciate a concise and mathematically rigorous treatment of that material. It is intended for use as a textbook by students taking a first graduate course in the subject, as well as for the general reference of interested research workers who will find, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, as for instance robust inference (using adjusted likelihood ratio tests) and the use of the bootstrap in a multivariate setting.
A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.
| ISBN: | 9780387987392 |
| Publication date: | 5th August 1999 |
| Author: | Martin Bilodeau, David Brenner |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 288 pages |
| Series: | Springer Texts in Statistics |
Our object in writing this book is to present the main results of the modern theory of multivariate statistics to an audience of advanced students who would appreciate a concise and mathematically rigorous treatment of that material. It is intended for use as a textbook by students taking a first graduate course in the subject, as well as for the general reference of interested research workers who will find, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, as for instance robust inference (using adjusted likelihood ratio tests) and the use of the bootstrap in a multivariate setting.
Hardback. Not Available.
Theory of Multivariate Statistics was written by Martin Bilodeau, David Brenner and published by Springer an imprint of Springer New York
Theory of Multivariate Statistics has 288 pages
Yes it is part of Springer Texts in Statistics series