Methods of multivariate analysis. /
Alvin C. Rencher and Wiliam F. Christensen.
- 3rd ed.
- New Jersey: Wiley, 2012.
- xxv, 758p.: ill; 24cm.
Includes index.
Content: Introduction -- Matrix algebra -- Characterizing and displaying multivariate data -- The multivariate normal distribution -- Tests on one or two mean vectors -- Multivariate analysis of variance -- Tests on covariance matrices -- Discriminant analysis: Description of group separation -- Classification analysis: Allocation of observations to groups -- Multivariate regression -- Canonical correlation -- Principal component analysis -- Exploratory factor analysis -- Confirmatory factor analysis -- Cluster analysis -- Graphical procedures.