MA3405 - Multivariate Statistical Methods
Credit points: | 03 |
Year: | 2005 |
Student Contribution Band: | Band 2 |
Administered by: |
Multivariate descriptive statistics, linear models and MANOVA, principal components, correspondence, factor, discriminant, canonical correlation and cluster analysis. Use of packaged statistics software.
Learning Outcomes
- to give the student a firm understanding of statistical methods, essential for extracting information from multivariate and "real world" data.
Prerequisites: | MA2405 |
Availabilities | |
, , Study Period 2 | |
Census Date 31-Aug-2005 | |
Coordinator: | madhc |
Lecturers: | madhc, Professor Yvette Everingham. |
Contact hours: |
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Assessment: | (70%); (10%); (20%). |
Note: 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 official information.