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Sampling Surveys
Stichproben-Erhebungen
Last Updated: 2026-02-05 16:14:51
Abstract
The elements of a sample survey are explained. The most important classical sample designs (simple random sampling and stratified random sampling) with their estimation procedures and the use of auxiliary information including the Horvitz-Thompson estimator are introduced. Data preparation, non-response and its treatment, variance estimation and analysis of survey data is discussed.
Objective
Knowledge of the Elements and the process of a sample survey. Understanding of the paradigm of random samples. Knowledge of simple random samplinig and stratified random sampling and capability to apply the corresponding methods. Knowledge of further methods of sampling and estimation as well as data preparation and analysis.
Resources
Lecture Notes
Introduction to the statistical methods of survey research
General Information
- Language
- German
- Levels
- MSC , WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Stichproben-Erhebungen
Does not take place this semester.
Blockkurs geplant November/Dezember 2024
Weitere Informationen unter
|
No time listed | 17.5 h semesterly |
Offered In
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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.)
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