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Course Catalog 2010-2011
MAT-41286 Multivariate Statistical Methods, 6 cr |
Person responsible
Keijo Ruohonen
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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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, 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. | Multivariate probability calculus, in particular the multinormal distribution. | ||
| 2. | Regression modelling. ANOVA. | ||
| 3. | Principal component analysis. Clustering, and other standard multivariate methods. |
Evaluation criteria for the course
Final grade is determined from a closed-book exam. Passing the course requires passing the final exam, and for this at most half of the maximum points are required. Mastering basic methods of the core content should be sufficient for passing the course with grade 3. To get the degree 4 a more thorough mastering is required, getting the grade 5 then requires skills of using this knowledge in new modelling situations.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Applied Multivariate Statistical Analysis | Johnson, R.A. & Wichern, D.W. | 0135143500 | English | |||
| Other online content | Course home page | Keijo Ruohonen | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
There is no equivalence with any other courses
Additional information
Suitable for postgraduate studies
Will not be lectured year 2010-2011
More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |