Methods for Multivariate Data

3 credits · Graduate

This course discusses practical techniques for the analysis of multivariate data. Topics covered include estimation and hypothesis testing for multivariate means and variances; partial, multiple and canonical correlations; principal components analysis and factor analysis for data reduction; multivariate analysis of variance; discriminant analysis for classification; and cluster analysis. Preclusion(s): MATH 475-3, MATH 499-3 Applied Multivariate Analysis, MATH 675-5, STAT 475-3