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2009-2010 University Catalog
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STAT 662 - Multivariate Statistical MethodsCredits: 3
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.
Prerequisites
STAT 554 and working knowledge of SAS.
Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
0
When Offered
AS
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