Print Syllabus

Syllabus

PFS0163 Multivariate statistics, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Prior knowledge

A basic course in univariate statistics. The Multivariate Statistics course will be taught using matrix notation and assuming some knowledge of matrix algebra. The absence of training in matrix algebra should not, however, form an obstacle to taking the course so long as you are prepared to put in some additional work early on learning a few, key matrix operations

The course is primarily intended for graduate students, but post-doctoral researchers are also welcome to attend.

Objectives

Upon successful completion of the course participants will be able to analyze data visually, using exploratory data analysis, as well as statistically, using multivariate statistical tools, and also to critically examine the validity of the statistical analyses.

Content

• Principal components analysis • Multivariate normality • Cluster analysis • Discriminant analysis • Multi dimensional Scaling • Factor analysis • Canonical correlation analysis

Additional information

The course can accommodate a limited number of applicants, who will be accepted in the order which the organizer receives the applications.

Applications are to be sent by e-mail to Magnus Ekström (magnus.ekstrom@slu.se) and should contain the following information.

• Name of the course;

• Name of applicant;

• Personal identification number (personnummer);

• Academic affiliation;

• Graduate student or Post-doc.

Responsible department

Department of Forest Resource Management