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 |
| Prerequisites: |
((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)
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| 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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