Applied multivariate statistical analysis / Richard A. Johnson
- 143 páginas ; 17 cm.
Incluye bibliografía
1. Aspects of multivariate analysis. --2. Matrix algebra and random vectors. --3. Sample geometry and random sampling. --4. The multivariate normal distribution. --5. Inferences about a mean vector. --6. Comparisons of several multivariate means. --7. Multivariate linear regression models. --8. Principal components. --9. Factor analysis and inference for structured covariance matrices. --10. Canonical correlation analysis. --11. Discrimination and classification. --12. Clustering, distance methods adn ordination.