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| MULTIVARIATE ANALYSIS
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By
Kanti Mardia, University of Leeds, Leeds, UK
J. Kent, University of Leeds, Leeds, UK
J. Bibby, The Open University, Milton Keynes, UK
Included in series
Probability and Mathematical Statistics,
Description
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.
Audience
Undergraduate, and graduate students in mathematics and/or statistics.
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.
| Bibliographic details |
Paperback, 521 pages, publication date: DEC-1979
ISBN-13: 978-0-12-471252-2
ISBN-10: 0-12-471252-5
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
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USD 142
EUR 103.95
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Last update: 7 Sep 2009
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