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An Introduction to Multivariate Statistical Analysis: 355 (Wiley Series in Probability and Statistics) - Hardcover
Inhaltsangabe
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.
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Críticas
"...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)
Reseña del editor
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.
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- VerlagWiley-Interscience
- Erscheinungsdatum2003
- ISBN 10 0471360910
- ISBN 13 9780471360919
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten752
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An Introduction to Multivariate Statistical Analysis 3e
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An Introduction to Multivariate Statistical Analysis
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Zustand: New. THEODORE W. ANDERSON, Professor Emeritus of Statistics and Economics at Stanford University, earned his PhD in mathematics at Princeton University. He is the author of The Statistical Analysis of Time Series, published by Wiley, as well as The New Statistic. Artikel-Nr. 446916141
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An Introduction to Multivariate Statistical Analysis
Verlag:
John Wiley & Sons Inc Aug 2003, 2003
ISBN 10: 0471360910
ISBN 13: 9780471360919
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Buch. Zustand: Neu. 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. Artikel-Nr. 9780471360919
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