 |
| Detailed information |
| Pre-requisites |
(*)keine
|
| Original study plan |
Bachelor's programme Statistics and Data Science 2019W |
| Objectives |
students know and can apply nonparametric methods
|
| Subject |
basic concepts (order statistics, rank statistics)
one sample problems (goodness of fit, location, Wald-Wolfowitz-Test)
two sample problems (distribution, location, scale)
multiple sample problems
independence and correlation
kernel density estimation
|
| Criteria for evaluation |
homework and written exam
|
| Methods |
Presentation by the instructor
homework
|
| Language |
German |
| Study material |
Myles Hollander, Douglas A. Wolfe, Eric Chicken, Nonparametric Statistical Methods, 2014
David J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 2011
Duller Christine Einführung in die nichtparametrische Statistik mit SAS, R und SPSS, 2018
|
| Changing subject? |
No |
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