STAT 5610 - Applied Multivariate Statistical Methods

An applied treatment of multivariate procedures is presented. Classical procedures such as Hotelling’s T-squared methods are discussed for the one and two sample problems and MANOVA for standard designs. Topics that will be accentuated are principal components, discriminant analysis, cluster analysis, and factor analysis. Emphasis will be on graphical methods and applications.

Prerequisites & Corequisites: Prerequisites: an introductory course in statistics and a course in linear algebra.

Credits: 3 hours