WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of
selected books that have been made more accessible to consumers in
an effort to increase global appeal and general circulation. With
these new unabridged softcover volumes, Wiley hopes to extend the
lives of these works by making them available to future generations
of statisticians, mathematicians, and scientists.
‘In recent years many monographs have been published on
specialized aspects of multivariate data-analysis-on cluster
analysis, multidimensional scaling, correspondence analysis,
developments of discriminant analysis, graphical methods,
classification, and so on. This book is an attempt to review these
newer methods together with the classical theory. . . . This one
merits two cheers.’
-J. C. Gower, Department of Statistics
Rothamsted Experimental Station, Harpenden, U.K.
Review in Biometrics, June 1987
Multivariate Observations is a comprehensive sourcebook
that treats data-oriented techniques as well as classical methods.
Emphasis is on principles rather than mathematical detail, and
coverage ranges from the practical problems of graphically
representing high-dimensional data to the theoretical problems
relating to matrices of random variables. Each chapter serves as a
self-contained survey of a specific topic. The book includes many
numerical examples and over 1, 100 references.
Cuprins
Notation.
1. Preliminaries.
2. Multivariate Distributions.
3. Inference for the Multivariate Normal.
4. Graphical and Data-Oriented Techniques.
5. Dimension Reduction and Ordination.
6. Discriminant Analysis.
7. Cluster Analysis.
8. Multivariate Linear Models.
9. Multivariate Analysis of Variance and Covariance.
10. Special Topics.
Appendix A: Some Matrix Algebra.
Appendix B: Orthogonal Projections.
Appendix C: Order Statistics and Probability Plotting.
Appendix D: Statistical Tables.
Outline Solutions to Exercises.
References.
Index.
Despre autor
GEORGE A. F. SEBER is a Professor in the Department of Statistics at The University of Auckland in New Zealand.
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