Aspects of Multivariate Statistical Theory / Wiley Series in Probability and Statistics (PDF)
(Sprache: Englisch)
The Wiley-Interscience Paperback Series consists of selected books
that have been made more accessible to consumers in an effort to
increase global appeal and general circulation. With these new
unabridged softcover volumes, Wiley hopes to extend the...
that have been made more accessible to consumers in an effort to
increase global appeal and general circulation. With these new
unabridged softcover volumes, Wiley hopes to extend the...
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Produktinformationen zu „Aspects of Multivariate Statistical Theory / Wiley Series in Probability and Statistics (PDF)“
The Wiley-Interscience Paperback Series consists of selected books
that have been made more accessible to consumers in an effort to
increase global appeal and general circulation. With these new
unabridged softcover volumes, Wiley hopes to extend the lives of
these works by making them available to future generations of
statisticians, mathematicians, and scientists.
". . . 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.
that have been made more accessible to consumers in an effort to
increase global appeal and general circulation. With these new
unabridged softcover volumes, Wiley hopes to extend the lives of
these works by making them available to future generations of
statisticians, mathematicians, and scientists.
". . . 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.
Autoren-Porträt von Robb J. Muirhead
ROBB J. MUIRHEAD, PhD, is Professor in the Department of Statistics at the University of Michigan. He received his PhD in 1970 from the University of Adelaide in Australia.
Bibliographische Angaben
- Autor: Robb J. Muirhead
- 2009, 1. Auflage, 712 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470316705
- ISBN-13: 9780470316702
- Erscheinungsdatum: 04.11.2009
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