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Multivariate Analysis - STAT821

This 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, and cluster analysis.

Credit Points: 4
When Offered:

S2 Evening - Session 2, North Ryde, Evening

S2 External - Session 2, External (with on campus sessions)

Staff Contact(s): Statistics Staff

((Admission to MAppStat or MSc or GradCertAppStat or GradDipAppStat or MActPrac or MDataSc) and (STAT806 or STAT810)) or ((admission to MLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MMarScMgt or MConsBiol or GradDipConsBiol or MScInnovation) and STAT830Prerequisite Information


Unit Designation(s):



Assessed As: Graded
Offered By:

Department of Mathematics and Statistics

Faculty of Science and Engineering

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