Aspects of Multivariate Statistical Theory (eBook)

The Wiley-Interscience Paperback Series consists of selected books
that have been made more accessible to consumers in an effort to
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these works by making them available to future generations of
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". . . the wealth of material on statistics concerning the
multivariate normal distribution is quite exceptional. As such it
is a very useful source of information for the general statistician
and a must for anyone wanting to penetrate deeper into the
multivariate field."

-Mededelingen van het Wiskundig Genootschap

"This book is a comprehensive and clearly written text on
multivariate analysis from a theoretical point of view."

-The Statistician

Aspects of Multivariate Statistical Theory presents a classical
mathematical treatment of the techniques, distributions, and
inferences based on multivariate normal distribution. Noncentral
distribution theory, decision theoretic estimation of the
parameters of a multivariate normal distribution, and the uses of
spherical and elliptical distributions in multivariate analysis are
introduced. Advances in multivariate analysis are discussed,
including decision theory and robustness. The book also includes
tables of percentage points of many of the standard likelihood
statistics used in multivariate statistical procedures. This
definitive resource provides in-depth discussion of the
multivariate field and serves admirably as both a textbook and
reference.