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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: A First Course in Multivariate Statistics
• Author: Bernard Flury
• Language: English
• Binding: Paperback
• Number of pages: 715
• EAN: 9781441931139
• ISBN: 1441931139
• ID: 01421799
• Publisher: Springer, Berlin
• Weight: 1329 g
• Dimensions: 235 × 155 × 37 mm
• Date of publishing: 26. October 2010

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