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M. Bilodeau and D. Brenner, springer, 1999
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.
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