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Multivariate Analysis - STAT721

This unit studies basic methods of multivariate statistical analysis. Multivariate data arise when each unit of observation in the sample has more than one variable measured. Multivariate statistical analysis provides ways to analyse dependence structures within multivariate data, as well as to meaningfully simplify, classify and group such data. The unit introduces methodologies and techniques for the exploration and analysis of multivariate data. Topics include graphical displays, discriminant analysis, principal components analysis, multivariate normal distribution, multivariate linear models, cluster analysis.

Credit Points: 4
When Offered:

S2 Evening - Session 2, North Ryde, Evening

Staff Contact(s): Associate Professor Jun Ma

Admission to MRes Prerequisite Information



NCCW(s): STAT821
Unit Designation(s):
Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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