The course will be given in Umeå 11 November - 13 December 2019. The course is primarily intended for graduate students, but post-doctoral researchers are also welcome to attend.
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
Objective, including learning outcomes
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.
• Principal components analysis
• Multivariate normality
• Cluster analysis
• Discriminant analysis
• Multi dimensional Scaling
• Factor analysis
• Canonical correlation analysis