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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 (On-campus dates: None)

Staff Contact(s): Associate Professor Jun Ma

((Admission to MAppStat or MSc or GradDipAppStat or MActPrac) and (STAT806 or STAT810)) or ((admission to MLabQAMgt or PGCertLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MMarScMgt or MConsBiol or GradDipConsBiol) and STAT830)  Prerequisite Information


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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