NOTE CHANGE: The course is moved to 4th period!

Survey Sampling /Otantamenetelmät, syksy 2016

Lecturer

Risto Lehtonen

Code

78143

Type and Credits

Intermediate level course
Exam (6 cu) or exam plus (optional) practical/theoretical homework (2 cu), total 8 cu

Advanced level course
Exam (6 cu) plus (compulsory) practical/theoretical homework (2 cu), total 8 cu

Scope

Lectures and PC classes 24 hours, homework

Description

The course covers topics in modern survey sampling including basic sampling methods (simple random sampling, systematic sampling, PPS sampling, stratified sampling, cluster sampling), the estimation of finite population parameters, and data analysis under various sampling designs. Case studies (mainly in social and health sciences and official statistics) are presented. Computational tools (SAS, SPSS, R) are introduced and applied for real data sets. The course is of applied type.

When completing the course, students are expected to be familiar with main approaches, methods and computational tools in survey sampling methodology and becoming capable to apply the methods in typical real-world analysis situations. Basic knowledge in statistical inference, data analysis and statistical computation (SAS, SPSS, R) would help successful participation.

Target group

The course is intended to fit for students majoring or graduating in statistics and for Master level and post-graduate (doctoral) students in quantitative studies in applied sciences incl. social and behavioural sciences and economics (e.g. REMS). As an applied type course, the course also would fit well for statisticians and researchers in research institutes and elsewhere.

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