Multivariate Analysis

Paperback | January 28, 1980

byKanti V. Mardia, J. T. Kent, J. M. Bibby

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Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variables. With several texts already available in this area, one may very well enquire of the authors as to the need for yet another book. Most of the available books fall into two categories, either theoretical or data analytic. The present book not only combines the two approaches but it also has been guided by the need to give suitable matter for the beginner as well as illustrating some deeper aspects of the subject for the research worker. Practical examples are kept to the forefront and, wherever feasible, each technique is motivated by such an example.

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From the Publisher

Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variables. With several texts already available in this area, one may very well enquire of the authors as to the need for yet another book. Most of the available books fall into two categories, either theoret...

From the Jacket

Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between variables. Most available books on the subject concentrate on either the theoretical or the data analytic approach. This book not only combines theses two approaches but also emphasizes modern developments, so, a...

Format:PaperbackDimensions:521 pagesPublished:January 28, 1980Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0124712525

ISBN - 13:9780124712522

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Table of Contents

Introduction. Basic Properties of Random Vectors. Normal Distribution Theory. Estimation. Hypothesis Testing. Multivariate Regression Analysis. Econometrics. Principal Component Analysis. Factor Analysis. Canonical Correlation Analysis. Discriminant Analysis. Multivariate Analysis of Variance. Cluster Analysis. Multidimensional Scaling. Directional Data. Matrix Algebra. Univariate Statistics. Appendix. References. List of Main Notations. Subject Index. Author Index.