Springer Texts in Statistics

Bilodeau, Martin; Brenner, David

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.

Details

Published by: Springer

Publication Date: 2013-05-06

Format: Paperback

ISBN-13: 9781475773033

DOI: 10.1007/b97615

Dimensions: 235cm x155cm

Pages: 290