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STAT 5610 - Applied Multivariate Statistical MethodsAn 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. |
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