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.

Note: Open to upper-level undergraduate and graduate students.

Prerequisites & Corequisites: Prerequisites: (MATH 2300 or MATH 2720 or MATH 5100 or MATH 5300 or MATH 5310) AND (an introductory course in statistics such as, STAT 2160 or STAT 2600 or STAT 3640)

Credits: 3 hours

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