A First Course in Multivariate Statistics

Bernard Flury

ISBN 10: 1441931139 / ISBN 13: 9781441931139

Editore: Springer New York Nov 2010, 2010

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This item is printed on demand - it takes 3-4 days longer - Neuware -A comprehensive and self-contained introduction to the field, carefully balancing mathematical theory and practical applications. It starts at an elementary level, developing concepts of multivariate distributions from first principles. After a chapter on the multivariate normal distribution reviewing the classical parametric theory, methods of estimation are explored using the plug-in principles as well as maximum likelihood. Two chapters on discrimination and classification, including logistic regression, form the core of the book, followed by methods of testing hypotheses developed from heuristic principles, likelihood ratio tests and permutation tests. Finally, the powerful self-consistency principle is used to introduce principal components as a method of approximation, rounded off by a chapter on finite mixture analysis. 732 pp. Englisch.

Codice articolo 9781441931139

Dati bibliografici

• Titolo: A First Course in Multivariate Statistics
• Editore: Springer New York Nov 2010
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441931139
• ISBN 13: 9781441931139
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 254 L x 203 A x 40 P (millimetri) 254 millimetri di larghezza per 203 millimetri di altezza per 40 millimetri di profondità
• Peso: 1541 grammi

Descrizione articolo

Riassunto

This graduate textbook will serve as a reference in multivariate analysis for students and researchers from a large number of areas. The book integrates statistical theory and practice, and includes the analysis of several large real-data sets.

Recensione

 

From a review:

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

"... is actually a very unique book that differs considerably from other multivariate texts. Flury should be applauded for his intention and effort to produce a new type of multivariate book that is neither a comprehensive theoretical treatise nor an encyclopedic methods cookbook. ... it is a welcome addition to the multivariate statistics literature. This is a well-written book with vivid and lively discussions."