2011-2012 University Catalog 
  
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2011-2012 University Catalog

STAT 662 - Multivariate Statistical Methods

Credits: 3 (NR)
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 544, STAT 554, matrix algebra, and working knowledge of SAS. Prerequisite enforced by registration system.

Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Alternate Spring