Common Principal Components and Related Multivariate Models (Wiley Series in Probability and Statistics Applied Probability and Statistics Section) Book Information:

(Topics and chapters covered in detail below):

Overview & Summary ofCommon Principal Components and Related Multivariate Models (Wiley Series in Probability and Statistics Applied Probability and Statistics Section) Book

Recent developments in the theory of principal component analysis have led to generalizations of cases where data fall in natural groups. This book offers for the first time a comprehensive view of the topics presented - the mathematical theory, applications to real data, and computational techniques. It treats both the classical method and recent generalizations, including the model of proportional covariance matrices, and the common principal component model and its variations. Methods are illustrated by numerical examples based on real data. The book should appeal to both mathematical and applied statisticians, and numerical analysts will appreciate the material on simultaneous diagonalization of symmetric matrices.

• Book Type :

Higher Education Textbooks

Book Binding :

Paperback

Language :

English

Number of Pages :

ISBN - 10 :

0471634271

Common Principal Components and Related Multivariate Models (Wiley Series in Probability and Statistics Applied Probability and Statistics Section) Published On :

Import, 14 Dec 1988

Resource:

Textbooks & Study Guides, Higher Education Textbooks Books for Students, Teachers, Graudates, Professionals and all others

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