Description
Book SynopsisAvailable in paperback for the first time, this bestseller provides a systematic account of the subject area, while concentrating on the most recent advances in the field. While the focus is on practical considerations, both theoretical and practical issues are explored.
Trade Review“ … in my opinion (this book) has been proved .. to be a valuable resource (and) should not be overlooked by any scholarly library.” (
Journal of the Royal Statistical Society Series A, June 2005)
Table of ContentsPreface.
1. General Introduction.
2. Likelihood-Based Approaches to Discrimination.
3. Discrimination via Normal Models.
4. Distributional Results for Discrimination via Normal Models.
5. Some Practical Aspects and Variants of Normal Theory-Based Discriminant Rules.
6. Data Analytic Considerations with Normal Theory-Based Discriminant Analysis.
7. Parametric Discrimination via Nonnormal Models.
8. Logistic Discrimination.
9. Nonparametric Discrimination.
10. Estimation of Error Rates.
11. Assessing the Reliability of the Estimated Posterior Probabilities of Group Membership.
12. Selection of Feature Variables in Discriminan Analysis.
13. Statistical Image Analysis.
References.
Author Index.
Subject Index.
