STA2005H: Applied Multivariate Analysis

Practical techniques for the analysis of multivariate data; fundamental methods of data reduction with an introduction to underlying distribution theory; basic estimation and hypothesis testing for multivariate means and variances; regression coefficients; principal components and the partial multiple and canonical correlations; multivariate analysis of variance; classification and the linear discriminant function. The use of R software should be expected.

Credit Value (FCE)

0.50

Campus(es)

St. George

Delivery Mode

In Class

School of Graduate Studies University of Toronto 63 St. George Street Toronto, ON Canada M5S 2Z9
Tel: 416-978-6614

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