Inhalt

[ 551STMESUSK19 ] KV Survey Statistics

Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2019W
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 Homework and written exam
Methods Presentations by the instructor

Presentation of homeworks by students

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

Supplementary material:

Lohr, S. (2010). Sampling: Design and Analysis. 2nd edition, Brooks/Cole, Boston.

Särndal, C.-E., Swensson, B. and Wretman, J. (1992). Model Assisted Survey Sampling. Springer, New York.

Changing subject? No
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