At the end of the course students should be able:
- to identify the multivariate character of tasks
- be well versed in advanced multivariate statistical methods
- to asses assumptions of methods concerning an application context
- Faculty of Economics and Administration
Teacher(s)
Syllabus
Based on students' preferences, topics from the following list will be selected:
Introduction to R environment
An Outline of Different Approaches to Ordinal Data Analysis
Introduction into Multivariate Analysis
Principal Component Analysis
Factor Analysis
Cluster Analysis
Discriminant Analysis
Higher-Order ANOVA
