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447-6201-00L 2 Credits MSC , WBZ D-MATH
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Nonparametric and Resampling Methods

Lecturers & Examiners: Dr. Lukas Meier, Prof. Dr. Diego Kuonen
Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to . The Registrar's Office will then register you for the course.
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Last Updated: 2026-06-01 11:30:45

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
Exam: 02.02.26

Course Components

Type Title Time & Place Hours
lecture with exercise Nonparametric and Resampling Methods
Block course
  • 12.01 Date 08:15-12:00 (HG E 21)
  • 12.01 Date 14:15-18:00 (HG E 21)
  • 19.01 Date 08:15-12:00 (HG E 41)
  • 19.01 Date 14:15-18:00 (HG E 41)
  • 26.01 Date 08:15-12:00 (HG E 21)
  • 26.01 Date 14:15-18:00 (HG E 21)
21 h semesterly

Offered In