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447-6289-00L 2 Credits MSC , WBZ D-MATH

Sample Surveys

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.
VVZ CR n/a

Last Updated: 2026-06-03 00:07:32

Abstract

The course introduces the main ideas and methods of finite-population sampling and estimation. It begins with an overview of basic sampling designs (simple random, stratified and cluster sampling). Building on these foundations, the course develops randomization-based and model-assisted inference for finite populations. It also addresses quality aspects of survey implementation and estimation.

Objective

Upon successful completion of the course, participants will be able to: 1. distinguish between finite-population and classical statistical inference; 2. compare and evaluate the designs: simple random, stratified, and cluster sampling designs with respect to their their strengths, limitations, and fields of application; 3. use R to analyze sample survey data; 4. identify and address issues related to missing and erroneous data; 5. critically assess the quality of survey estimates within the total survey error framework.

Content

Basic sampling designs and methods (simple random sampling, stratified sampling, and cluster sampling), randomization inference, unequal probability sampling (Horvitz-Thompson), variance estimation, model-assisted and model-based approach (ratio and regression estimator), total survey quality (data preparation, outlier detection, and methods for handling incomplete survey data)

Resources

Literature

Wu, C. and Thompson, M. E. (2020). Sampling Theory and Practice, Cham: Springer Verlag. URL: https://link.springer.com/book/10.1007/978-3-030-44246-0

General Information

Language
English
Levels
MSC , WBZ
Frequency
Every two years

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Sample Surveys
Block course Mon 16.11.26 08:15 - 12:00 Mon 23.11.26 08:15 - 12:00 Mon 30.11.26 08:15 - 12:00 Mon 07.12.26 08:15 - 12:00 Mon 14.12.26 08:15 - 12:00 Final Examination: Mon 11.01.27
No time listed 17.5 h semesterly

Offered In