Statistics, Survey Sampling, Second Cycle, 7,5 Credits

The first part of the course gives the basic foundations of design based inference when sampling from finite populations. Concepts, such as sampling design, inclusion probabilities, the sample membership indicators, (design)expectations, (design)variance and (design)covariance are introduced. The Horvitz-Thompson estimator for a population total is introduced and discussed. The general results are applied to several sampling designs, often used in practice. Moreover, estimation of ratios and medians are discussed. In the second part of the course the difference estimator and regression estimator are introduced for an arbitrary sampling design. These estimators incorporate auxiliary information explicitly, with a view to achieving more efficient estimations. The general results are applied to some often used element sampling designs. The third part of the course gives an introduction to estimation of domains (subpopulations) as well as the theory of two-phase sampling and its applications to certain problems of non-response.
Assessment:Written examination, active participation in seminars and compulsory assignments.

ECTS Credits

7,5 Credits

Level of education

Second cycle, has second-cycle course/s as entry requirements (A1F)

School

Örebro University School of Business

When is the course offered?

Prerequisites: First-cycle courses of 90 credits in statistics, including an independent project of 15 credits, alternatively 30 credits are for studies in statistics and 60 credits for mathematics, as well as the course Statistics, Statistical Theory, second cycle, 7.5 credits. The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.

Selection: Academic points

Course syllabus

Application code: X2119