Experimental Design and Sampling

Education facts

Code: MSA251

This course gives an introduction to experimental design and sampling theory. In experimental design we will learn how to construct various types of designs, such as factorial design (complete and reduced), mixed-effect models, split-plot designs and response surface methods, as well as statistical analysis methods such as analysis of variance (ANOVA) and linear and non-linear regression. In sampling theory we treat different types of sampling strategies, such as simple random sampling, systematic sampling, stratified sampling, weighted sampling and cluster sampling, and the subsequent analysis such as population and variance estimates, model based inference and pseudo-likelihood methods.

Entry requirements

Knowledge corresponding to the courses MMG200 Mathematics 1, MSG200 Statistical Inference, and MSG500 Linear Statistical Models.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Experimental Design and Sampling

  University of Gothenburg

  GÖTEBORG

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 50 %