040397 FK nBWM INF: Appl. Multivariate Stat.f.Business Stud. (2011S)
Applied Multivariate Statistics for Business Students
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 07.02.2011 09:00 to Th 17.02.2011 17:00
- Registration is open from We 23.02.2011 09:00 to Th 10.03.2011 14:00
- Deregistration possible until Th 31.03.2011 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 02.03. 16:00 - 19:00 EDV-Labor 3
- Wednesday 09.03. 16:00 - 19:00 EDV-Labor 3
- Wednesday 16.03. 16:00 - 19:00 EDV-Labor 3
- Wednesday 23.03. 16:00 - 19:00 EDV-Labor 3
- Wednesday 30.03. 16:00 - 19:00 EDV-Labor 3
- Wednesday 06.04. 16:00 - 19:00 EDV-Labor 3
- Wednesday 13.04. 16:00 - 19:00 EDV-Labor 3
- Wednesday 04.05. 16:00 - 19:00 EDV-Labor 3
- Wednesday 11.05. 16:00 - 19:00 EDV-Labor 3
- Wednesday 18.05. 16:00 - 19:00 EDV-Labor 3
- Wednesday 25.05. 16:00 - 19:00 EDV-Labor 3
- Wednesday 01.06. 16:00 - 19:00 EDV-Labor 3
- Wednesday 08.06. 16:00 - 19:00 EDV-Labor 3
- Wednesday 15.06. 16:00 - 19:00 EDV-Labor 3
- Wednesday 22.06. 16:00 - 19:00 EDV-Labor 3
- Wednesday 29.06. 16:00 - 19:00 EDV-Labor 3
Information
Aims, contents and method of the course
Topics: Multivariate Regression, ANOVA and MANOVA, Logistic Regression, Discriminant Analysis, Cluster Analysis, Principal Component and Factor Analysis, Analysis of contingency tables (loglinear models and correspondence analysis)
Assessment and permitted materials
Attandance of the lectures (20%) (three units missing allowed);
Presentation about a selected topic (40%);
Final discussion about the contents (40%)
Presentation about a selected topic (40%);
Final discussion about the contents (40%)
Minimum requirements and assessment criteria
Application oriented knowledge about basic multivariate techniques.
Examination topics
Lectures covering the topics from a conceptional methodological point of view, application of the methods in examples.
Reading list
Backhaus - Erichson - Plinke - Weiber: Multivariate Analysemethoden, 12. Auflage, Springer 2008S. Landau, B.S. Everitt: A Handbook of Statistical Analysis Using SPSS
Association in the course directory
Last modified: Mo 07.09.2020 15:29