STAT 675

Methods for Multivariate Data

Lec A1 selected

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.

Sections

Lecture

Lec A1

Wed 11:30-14:20

Wed11:30-14:20Teaching and Learning Centre 10-303410677

Syllabus

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