BST 558 - Applied Multivariate Analysis

Description
This course introduces students to statistical methods for describing and analyzing multivariate data. Topics to be covered include basic matrix algebra, multivariate normal distribution; linear models with multivariate response, multivariate analysis of variance; profile analysis, dimension reduction techniques, including principle component analysis, factor analysis, canonical correlation, multidimensional scaling; discriminate/cluster analysis; and classification/regression trees.
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Recent Semesters
Fall 2017
Offered
MWTh
Avg. Class Size
20
Avg. Sections
1