MA3405:03
Multivariate Statistical Methods
Townsville
Prerequisites: MA2405
39 lectures, 26 hours practicals. First semester.
Staff: Assoc. Professor D Coomans.
Multivariate descriptive statistics, linear models and MANOVA, principal components, correspondence, factor, discriminant, canonical correlation and cluster analysis. Use of packaged statistics software.
Learning Objectives:
- to give the student a firm understanding of statistical methods, essential for extracting information from multivariate and “real world” data.
Assessment by coursework (tests and assignments) (30%); a three-hour examination (70%).
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