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Course Catalog 2014-2015
MAT-60356 Multivariate Methods in Statistics, 5 cr |
Additional information
No implementations during academic year 2014-2015.
Suitable for postgraduate studies
Will not be lectured year 2014-2015
Person responsible
Keijo Ruohonen, Simo Ali-Löytty
Requirements
Exam.
Completion parts must belong to the same implementation
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 |
Book | Applied Multivariate Data Analysis | Everitt, B.S.& Dunn, G. | No | English |
Prerequisites
Course | Mandatory/Advisable | Description |
MAT-02550 Tilastomatematiikka | Mandatory | 1 |
MAT-60006 Matrix Algebra | Mandatory | 2 |
MAT-02500 Todennäköisyyslaskenta | Mandatory |
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 |
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