Introduction to Multivariate Analysis by A.J. Collins (English) Paperback Book

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This book provides an introduction to the analysis of multivariate data. The book should also be suitable as a text for undergraduate and postgraduate statistics courses on multivariate analysis. The book covers a wider range oftopics than some other books in this area.

FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Publisher Description

This book provides an introduction to the analysis of multivariate data. It should be suitable for statisticians and other research workers who are familiar with basic probability theory and elementary inference, and also have a basic grounding in matrix algebra. The book should also be suitable as a text for undergraduate and postgraduate statistics courses on multivariate analysis. The book covers a wider range oftopics than some other books in this area. It deals with preliminary data analysis, principal component and factor analysis and traditional normal-theory material. It also covers cluster analysis and scaling techniques. In writing the book, we have tried to provide a reasonable blend of theory and practice, in contrast to much of the existing literature which concentrates on one or other aspect. Enough theory is given to introduce the concepts and to make the topics mathematically interesting. But we also discuss the use (and misuse) of the techniques in practice and presentappropriate real-life examples. Although the book is primarily an introductory text, we have nevertheless added appropriate references for further reading, so that the reader may extend his studies if he wishes.

Author Biography

Chatfield, Bath University, UK.

Table of Contents

Multivariate distributions.- Preliminary data analysis.- Finding new underlying variables.- Principal component analysis.- Factor analysis.- Procedures based on the multivariate normal distribution.- The multivariate normal distribution.- Procedures based on normal distribution theory.- The multivariate analysis of variance.- The multivariate analysis of covariance and related topics.- Multidimensional scaling and cluster analysis.- Multidimensional scaling.- Cluster analysis.

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Long Description

This book provides an introduction to the analysis of multivariate data. It should be suitable for statisticians and other research workers who are familiar with basic probability theory and elementary inference, and also have a basic grounding in matrix algebra. The book should also be suitable as a text for undergraduate and postgraduate statistics courses on multivariate analysis. The book covers a wider range oftopics than some other books in this area. It deals with preliminary data analysis, principal component and factor analysis and traditional normal-theory material. It also covers cluster analysis and scaling techniques. In writing the book, we have tried to provide a reasonable blend of theory and practice, in contrast to much of the existing literature which concentrates on one or other aspect. Enough theory is given to introduce the concepts and to make the topics mathematically interesting. But we also discuss the use (and misuse) of the techniques in practice and present appropriate real-life examples. Although the book is primarily an introductory text, we have nevertheless added appropriate references for further reading, so that the reader may extend his studies if he wishes.

Details ISBN0412160307 Author C. Chatfied Publisher Chapman and Hall Year 1980 ISBN-10 0412160307 ISBN-13 9780412160301 Imprint Chapman and Hall Place of Publication London Country of Publication United Kingdom Publication Date 1980-01-01 DEWEY 519.535 Format Paperback Short Title INTRO TO MULTIVARIATE ANALYSIS Series Science Paperbacks Language English Media Book Pages 246 Illustrations X, 246 p. DOI 10.1604/9780412160301 AU Release Date 1980-01-01 NZ Release Date 1980-01-01 UK Release Date 1980-01-01 Edition Description Softcover reprint of the original 1st ed. 1980 Alternative 9781071600122 Audience Professional & Vocational We've got this

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