VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Nonparametric and Resampling Methods
Last Updated: 2026-02-05 15:34:48
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
- MSC , 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.
Lectures: 8-10 and 14-16
Exercises: 10-12 and 16-18
|
No time listed | 21 h semesterly |
Offered In
-
Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
-
-
-