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[ 551STMESUSK19 ] KV Survey Statistics
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Andreas Quatember 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2023W
Objectives Students understand the concepts of survey statistics and can implement them (in R). They can draw samples from existing populations, use auxiliary information to choose the appropriate sampling design, and can also deal with various challenges of the sampling practice.
Subject Representativeness of samples

Probability and Non-probability sampling

Estimation methods (design-based, model-assisted)

Estimation in the presence of nonresponse (model-based)

A simulation approach for survey statistics

Computer-intensive variance estimation

Criteria for evaluation Homeworks and written exam
Methods Presentations by the instructor

Homeworks

Language German
Study material Quatember A. (2019). Datenqualität in Stichprobenerhebungen. Eine verständnisorientierte Einführung in die Survey-Statistik. Springer Spektrum, Berlin.

Changing subject? No
Further information Basic knowledge of the freeware R is required.
Corresponding lecture (*)4MSSTKV: KV Stichprobenverfahren (4 ECTS) UND 551STMESPVK14: KV Stichprobenverfahren (4 ECTS)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority