Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
16.1.2019 at 08:00 - 30.4.2019 at 23:59

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Tue 12.3.2019
10:15 - 14:00
Tue 19.3.2019
10:15 - 14:00
Tue 26.3.2019
10:15 - 14:00
Tue 2.4.2019
10:15 - 14:00
Tue 9.4.2019
10:15 - 14:00
Tue 16.4.2019
10:15 - 14:00
Tue 30.4.2019
10:15 - 14:00

Description

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Statistics and Social statistics module.

The course is available to students from other degree programmes.

Survey sampling

Student gets knowledge on approaches, methods, data sources and computational tools in the estimation for regions and other population subgroups and is able to apply selected methods in typical real-world analysis situations.

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

The course covers topics in modern statistical methods for the estimation of parameters for population subgroups or domains and small areas (Small Area Estimation, SAE).

Topics include:
- Sampling design for SAE
- SAS and R tools
- real-world applications
- Case studies
- Design-based model-assisted methods (generalized regression estimation, calibration techniques)
- Model-based methods (synthetic, EBLUP and EBP estimators)
- Variance and MSE estimation

Lehtonen R. and Veijanen A. (2009). Design-based methods for small area estimation. In: Rao C.R. and Pfeffermann D. (Eds.). Handbook of Statistics vol. 29B. Elsevier.; Rao J.N.K. (2003). Small Area Estimation. Wiley.

Lectures and exercise classes

Exam and written assignment, Course will be graded with grades 1-5

Exam and written assignment