Springer Texts in Statistics A First Course in Multivariate Statistics
Type
Book
Authors
ISBN 10
038798206X
ISBN 13
9780387982069
Category
Unknown
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Publication Year
1997
Publisher
Pages
715
Series Name
Description
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. - from Amzon
Number of Copies
1
