STAT 662 Multivariate Statistical Methods
Prerequisite: STAT 554, matrix algebra, and working knowledge of SAS.
Corequisite: STAT 544
Course Description: Standard techniques of applied multivariate analysis. Topics include review of matrices, T square tests, principle components, multiple regression and general linear models, analysis of variance and covariance, multivariate ANOVA, canonical correlation, discriminant analysis, classification, factor analysis, clustering, and multidimensional scaling. Computer implementation via a statistical package is an integral part of the course.
When Offered: Alternate Spring