MA3405 - Multivariate Statistical Methods
|Student Contribution Band:
||School of Engineering (pre 2015)
Multivariate descriptive statistics, linear models and MANOVA, principal components,
correspondence, factor, discriminant, canonical correlation and cluster analysis.
Use of packaged statistics software.
- to give the student a firm understanding of statistical methods, essential for extracting
information from multivariate and "real world" data.
Study Period 2
|Census Date 28-Aug-2014
||Professor Yvette Everingham.
- 26 hours lectures
- 13 hours practicals
||end of semester exam (70%); other exams (10%); assignments (20%).
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest