Statistical Inference
About
This is a second course in mathematical statistics introducing the following key topics of statistical inference: sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, analysis of variance, linear least squares, categorical data analysis, basics of Bayesian inference.
Prerequisites and selection
Entry requirements
Knowledge corresponding to the courses MMG200 Mathematics 1, MMG300 Multivariable Analysis and MSG110 Probability Theory.
Facilities
Mathematical Sciences is a joint department of Chalmers/University of Gothenburg. Your education takes place in the spacious and bright premises of Mathematical Sciences at the Chalmers campus Johanneberg, where there are lecture halls, computer rooms and group rooms. Here you can also find student lunch room and reading room, as well as student counsellors and student office.
