Description
Book SynopsisGives a treatment of data oriented techniques as well as classical methods. This sourcebook emphasizes principles rather than mathematical detail, and the coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables.
Trade Review"...an excellent introduction to statistical inference in the Multivariate Linear Model...it is a real achievement to discuss so many different topics in a single book of medium size." (
ISCB News, December 2006)
"The book…by George A. F. Server is [an] example of how a book should be written." (Journal of Statistical Computation and Simulation, March 2006)
Table of ContentsNotation.
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.
