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Applied Multivariate Statistics
Angewandte multivariate Statistik
Last Updated: 2026-02-05 15:29:07
Abstract
Statistical problems that involve several or many variables. Descriptive methods and graphics, Covariance and correlation.Models for multivariate data, estimation of parameters.Discrimination analysis, Regression models, Principal components, biplot, factor analysis, unmixing.Similarity, scaling and cluster analysis.
Objective
Understanding the basic concepts and models. Identification of adequate methods for a given statistical problem. Practise in using the software R to apply the methods and in interpreting the results.
Content
Descriptive and graphical methods. Correlation, multivariate normal distribution. Discriminant Analysis. Multivariate Regression. Principal Components, Biplot, Factor Analysis, Linear Unmixing. Similarity measures, Multidimensional Scaling, Cluster Analysis
Resources
Lecture Notes
see web site
General Information
- Language
- German
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Angewandte multivariate Statistik
taught in English if required
|
|
2 h weekly |
Offered In
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Major in Climate and Water: Electives (Advisor of the BSc-major "Climate and Water" is Dr. M. Wüest, Institute for climate and atmosphere (IAC).)
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Major Electives (From the elective courses of the 5th and 6th semester, 24 credits have to be acquired. Other courses have to be granted by the advisor, Dr. M. Wüest, IAC.)
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