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About Slides 0
This document provides information about an Applied Multivariate Statistics course being offered in the fall semester of 2014 at the University of Mannheim. It will introduce students to common multivariate analysis techniques like principal component analysis, factor analysis, cluster analysis, and correspondence analysis. Students will learn the theory behind these methods and how to apply them in the statistical programming language R. The course aims to help students reduce dimensionality in data, visualize relationships, investigate variable dependencies, and classify observations. Examples will come from economics, survey data, voting records, and other real-world sources. Students are expected to complete homework assignments and exams to demonstrate their understanding of multivariate concepts and proficiency in R.
Detailed Information
| Author: | ['a_ferrao6'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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