Discriminant analysis and statistical pattern recognition
Geoffrey J. McLachlan.
New York : Wiley, ©1992.
xv, 526 págs. : ilustraciones ; 25 cm.
Serie: Wiley series in probability and mathematical statistics. Applied probability and statistics
ISBN: 0471615315
"A Wiley-Interscience publication."
Incluye referencias bibliográficas (p. 447-506) e índices.
Reseña: MathSciNet, 94a:62091
Contenido
- 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 Probabilites of Group Membership
- 12. Selection of Feature Variables in Discriminant Analysis
- 13. Statistical Image Analysis.