Methods of multivariate analysis /
Alvin C. Rencer and William F. Christensen
- Third Edition
- New Jersey : John Wiley & Son, Inc., c2012
- xxv, 758 pages : illustrations ; 24 cm.
Includes bibliographical references and index.
1. Introduction -- 2. Matrix algebra -- 3. Characterizing and displaying multivariate data -- 4. The Multivariate normal distribution -- 6. Multivariate analysis of variance -- 7. Tests on covariance matrices -- 8. Discriminant analysis : description of group separation -- 9. Classification analysis : allocation of observations of groups -- 10. Multivariate regression -- 11. Canonical correlation -- 12. Principal component analysis -- 13. Exploratory factor analysis -- 15. Cluster analysis -- 16. Graphical procedures.
This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content.