Mathematical Statistics

Education facts

Code: MSG811

Course content: Probability theory: Basic concepts (for example: sample space, probability, inclusion, intersection, union...)<br> Dependent and independent events. Conditional probabilities.<br> Combinatorics<br> Stochastic variables: discrete and continuous, one-dimensional and multi-dimensional. Expectation and variance.<br> Known distributions: uniform (discrete and continuous), binomial, geometric, exponential, normal, t-distribution<br> The central limit theorem and normal approximation<br> Statistical inference: Point estimates<br> The maximum likelihood method and the method of moments<br> Confidence intervals for expectations, variance and proportions<br> Hypothesis testing<br> Linear regression<br> Simple experimental design<br> Statistical computations with computer

Entry requirements

Basic knowledge of linear algebra and calculus.

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.

• Mathematical Statistics

  University of Gothenburg

  Start date: 23 March 2026

  End date: 7 June 2026

  Pace of study: 50 %