An Introduction to Multivariate Statistical Analysis

Theodore W. (Stanford University Anderson

ISBN 10: 0471360910 / ISBN 13: 9780471360919

Editore: John Wiley & Sons Inc Aug 2003, 2003

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Neuware - Perfected over three editions and more than forty years, this field- and classroom-tested reference:\* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.\* Treats all the basic and important topics in multivariate statistics.\* Adds two new chapters, along with a number of new sections.\* Provides the most methodical, up-to-date information on MV statistics available. Codice articolo 9780471360919

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Titolo: An Introduction to Multivariate Statistical ...

Casa editrice: John Wiley & Sons Inc Aug 2003

Data di pubblicazione: 2003

Legatura: Buch

Condizione: Neu

Edizione: terza edizione

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Riassunto:

Perfected over three editions and more than forty years, thisfield- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensurereasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariatestatistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MVstatistics available.

Recensione:

" suitable for a graduate–level course on multivariate analysis an important reference on the bookshelves of many scientific researchers and most practicing statisticians." ( Journal of the American Statistical Association, September 2004)

really well written. The edition will be certainly welcomed (Zentralblatt Math, Vo.1039, No.08, 2004)

" a wonderful textbook that covers the mathematical theory of multivariate statistical analysis " (Clinical Chemistry, Vol. 50, No. 2, May 2004)

"...remains an authoritative work that can still be highly recommended..." (Short Book Reviews, 2004)

"...still a very serious and comprehensive book on the statistical theory of multivariate analysis." (Technometrics, Vol. 46, No. 1, February 2004)

...remains a mathematically rigorous development of statistical methods for observations consisting of several measurements or characteristics of each subject and a study of their properties. (Quarterly of Applied Mathematics, Vol. LXI, No. 4, December 2003)