2003. 3rd. Hardcover. Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics. Series: Wiley Series in Probability and Statistics. Num Pages: 752 pages, references, index. BIC Classification: PBK; PBT. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 41. Weight in Grams: 1212. Series: Wiley Series in Probability and Statistics. 752 pages, references, index. Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics. Cateogry: (P) Professional & Vocational. BIC Classification: PBK; PBT. Dimension: 241 x 162 x 41. Weight: 1176. . . . . .

N� de ref. del art�culo V9780471360919

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Detalles bibliogr�ficos

T�tulo: An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)
Editor: Wiley-Interscience
Fecha de publicaci�n: 2003
Idioma: Ingl�s
ISBN 10: 0471360910
ISBN 13: 9780471360919
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 3� Edici�n
Estado: New

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Sinopsis

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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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 Statistical Analysis of Data and A Bibliography of Multivariate Statistical Analysis. Anderson is a member of the National Academy of Sciences and a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Econometric Society, and the American Academy of Arts and Sciences.

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