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.

Cr�ticas:

"...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)

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Introduction to Multivariate Statistical Analysis

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