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

density estimation, Chi-square test, Kolmogorov–Smirnov test, Wilcoxon signed-rank test

Oral exam

probability theory