Items related to An Introduction to Multivariate Statistical Analysis
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
A classic comprehensive sourcebook, now fully updated
For more than four decades An Introduction to Multivariate Statistical Analysis has been an invaluable text for students and a resource for professionals wishing to acquire a basic knowledge of multivariate statistical analysis. Since the previous edition, the field has grown significantly. This updated and improved Third Edition familiarizes readers with these new advances, elucidating several aspects that are particularly relevant to methodology and comprehension.
The Third Edition features new or more extensive coverage of:
- Patterns of Dependence and Graphical Models–a new chapter
- Measures of correlation and tests of independence
- Reduced rank regression, including the limited-information maximum-likelihood estimator of an equation in a simultaneous equations model
- Elliptically contoured distributions
Incorporation of the advice and comments of the readers of the first two editions as well as extensively classroom-tested techniques and calculations makes An Introduction to Multivariate Statistical Analysis, Third Edition, more valuable than ever for both professional statisticians and students of multivariate statistics.
About the Author
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.
"About this title" may belong to another edition of this title.
- PublisherWiley-Interscience
- Publication date2003
- ISBN 10 0471360910
- ISBN 13 9780471360919
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages752
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471360919
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Condition: New. 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. . . . . . Seller Inventory # V9780471360919
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