Modul

The module will be completed with an oral exam (ca. 20 min).

By the end of the course, students will be able to

• explain nonparametric statistical tests based on location problems and distinguish them from parametric methods,
• name and explain nonparametric estimation methods for nonparametric regression and density estimation,
• know and apply optimality criteria for the statistical methods covered. 

None

• Introduction to nonparametric models
• Nonparametric tests, especially rank statistics
• Nonparametric density and regression estimation
• Dependence measures or optimal convergence rates

The contents of the module 'Probability Theory' are strongly recommended. The module 'Mathematical Statistics' is recommended.

Total workload: 120 hours

Attendance: 45 h

•  lectures, problem classes and examination

Self studies: 75 h

• follow-up and deepening of the course content,
• work on problem sheets,
• literature study and internet research on the course content,
• preparation for the module examination