After successful completion of the course, students are able to identify problems, for which non-parametric statistic methods can be applied. Furthermore they will be capable of applying the learned methods including some programming skills in R.
Methods based on the empirical distribution function, density estimation, rank tests, U-statistics, asymptotic relative efficiency, resampling, implementation in R
Lecture using blackboard, chalk and occasional multimedia support
If restrictions of in-house teaching are in effect, a mix of online lectures using video conference tools and self-study off-line material
Oral exam
Not necessary
probability theory
