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Nonparametric and Resampling Methods
Last Updated: 2026-02-05 16:29:41
Abstract
Nonparametric tests, randomization tests, jackknife and bootstrap, as well as asymptotic properties of estimators.
Objective
For classical parametric models there exist optimal statistical estimators and test statistics whose distributions can often be determined exactly. The methods covered in this course allow for finding statistical procedures for more general models and to derive exact or approximate distributions of complicated estimators and test statistics.
Content
Nonparametric tests, randomization tests, jackknife and bootstrap, as well as asymptotic properties of estimators.
General Information
- Language
- English
- Levels
- WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Nonparametric and Resampling Methods
Does not take place this semester.
Block course planned to take place in January 2026
|
No time listed | 21 h semesterly |