Applied multivariate statistical analysis /
Richard A. Johnson, Dean W. Wichern.
- 6 ed.
- Upper Saddle River, N.J. : Pearson Prentice Hall, c2007.
- xviii, 773 p. : il., grafs., etc.
Includes bibliographical references, indexes, etc.
Cap. 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 componets -- 9. Factor analysis and inference for structured covariance matrices -- 10. Canonical correlation analysis -- 11. Discrimination and classification -- 12. Clustering, distance methods, and ordination.
Disponible en la Colección General : Biblioteca Central.