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2015-2016 University Catalog
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STAT 662 - Multivariate Statistical MethodsCredits: 3
Not Repeatable
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.
Prerequisite(s): STAT 554, matrix algebra, and working knowledge of SAS. Prerequisite enforced by registration system.
Corequisite(s): STAT 544.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Alternate Spring
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