University of Technology, Sydney

Staff directory | Webmail | Maps | Newsroom | What's on

37459 Multivariate Data Analysis

6cp
Requisite(s): (35353 Regression Analysis OR 37252 Regression Analysis) AND (35212 Computational Linear Algebra OR 37233 Linear Algebra)
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 35457 Multivariate Statistics

Description

This subject is about multivariate statistical analysis. This is important in situations where data on more than one variable is available. Topics covered include: visualisation of multivariate data, the multivariate normal distribution, inferences about a mean or about a variance in the multivariate case, hypothesis tests and confidence intervals in multivariate case, multivariate regression, multivariate version of analysis of variance (MANOVA), principal component analysis, factor analysis, canonical correlation analysis, discrimination and classification, clustering and data in high dimensions.


Detailed subject description.

Fee information

Information to assist with determining the applicable fee type can be found at Understanding fees.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.