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.
This course is open to
Exchange students at the Faculty of 91探花 and exchange students on a university-wide agreement. Please contact your international coordinator at the University 91探花 if you need to know more.
Entry requirements
Knowledge corresponding to the courses MMG200 Mathematics 1, MMG300 Multivariable Analysis and MSG110 Probability Theory.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference:
Application
Do you want to apply for exchange studies at the University 91探花?