An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)

T. W. Anderson

ISBN 10: 0471360910 / ISBN 13: 9780471360919

Edité par Wiley-Interscience, 2003

A propos de cet article

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 réf. du vendeur V9780471360919

Détails bibliographiques

Titre : An Introduction to Multivariate Statistical ...

Éditeur : Wiley-Interscience

Date d'édition : 2003

Reliure : Couverture rigide

Etat : New

Edition : 3ème Édition

A propos de ce titre

Synopsis :

Book by Anderson T W

Quatrième de couverture:

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.