Course Catalog 2012-2013
Postgraduate

Basic Pori International Postgraduate Open University

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Course Catalog 2012-2013

MAT-41286 Multivariate Statistical Methods, 6 cr

Additional information

This is a self-study course.
Suitable for postgraduate studies

Person responsible

Keijo Ruohonen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
            MAT-41286 2011-01  

Requirements

Closed-book written 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, 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:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   Applied Multivariate Data Analysis   Everitt, B.S. & Dunn, G.   0470711175          English  
Other online content   Course home page   Keijo Ruohonen            English  

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
MAT-41286 Multivariate Statistical Methods, 6 cr MAT-60356 Multivariate Methods in Statistics, 5 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
MAT-41286 2011-01        

Last modified24.01.2012