This cours gives an introduction to non-parametric statistics. Specifically, after a reminder on parametric estimation and hypothesis testing, we will study Wilcoxon's signed rank test, the empirical cumulative distribution function, the Mann-Whitney U test, QQ-plots and goodness-of-fit testing, robust correlation measures, non-parametric density estimation and regression. All methods will be illustrated with practical examples.
Exercices and corrections are available on webcampus.
Two-part evaluation
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Master in Business Engineering, Professional focus | Standard | 0 | 3 | |
| Master in Business Engineering, Professional focus | Standard | 1 | 3 |