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STAT821: Multivariate Analysis

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
Contact Hours:--
When Offered: E2 - Evening; Offered in the second half-year
X2 - External study; Offered in the second half-year (On Campus session: No session)
Staff Contact: Dr Jun Ma
Prerequisites:

Corequisites:

STAT810 or STAT371

NCCWs:

Unit Designations: --
Assessed As: Graded
Offered By:

Department of Statistics


Faculty of Science

Served by: 10.29.82.134 (unknown)