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 statistics course such as STAT 2600 or STAT 3640 and a course in linear algebra.

Credits: 3 hours

Notes: Open to Upperclass and Graduate students.

Print-Friendly Page (opens a new window)