|
|
|||||||||||||||||
Course Catalog 2013-2014
MAT-60356 Multivariate Methods in Statistics, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Keijo Ruohonen, Simo Ali-Löytty
Learning Outcomes
After completing the course the student is able to choose, apply and analyze the results of common multivariate statistical methods. Since the course is mainly a self-study course, the student may choose the material to emphasize application areas of specific interest. The student will also be familiar with the multivariate modelling tools in a statistical program (MATLAB, JMP, R or some such). Nowadays these methods form a long-standing, well-researched and much used toolbox, and therefore it is simply not possible to include outcomes for them all within a single course. Completing the course the student nevertheless should be able the generalize and extend the skills.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Regression, Principal component analysis, Clustering, and other multivariate statistical methods |
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Other online content | Course page | Keijo Ruohonen | No | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| MAT-02550 Statistics | Mandatory | 1 |
| MAT-60006 Matrix Algebra | Mandatory | 2 |
1 . Or any other basic course on statistics.
2 . Or any other basic course on matrix calculus.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
|
|
|