two balanced samples absent ties the finite sample distribution of the HWM index is derived. Simulations show that in most … cases unbalanced samples and ties have little effect on this distribution. The d-d plot allows for a straightforward … extension to the K-sample HWM index. As we have not been able to derive the distribution of the index for K>2, we simulate …

We derive the exact finite sample distribution of the L1-version ofthe Fisz-Cramér-von Mises test statistic (L1-FCvM … underlying p-p plots emerge. Comparing the finitesample distribution with the (known) limiting distribution showsthat the latter … distribution differfrom the exact values, this will not lead to differences in the rejectionof the underlying hypothesis. …

P-p plots contain all the information that is needed for scale-invariant comparisons. Indeed, Empirical Distribution … thus used to derive the exact finite sample distribution of the L1-version of the Fisz-Cramér-von Mises test. Comparing … this distribution with the (known) limiting distribution shows that the latter can always be used for hypothesis testing …

forecasts, focusing on a specific part of the joint distribution. The test is framed in the context of the Kullback …

two balanced samples absent ties the finite sample distribution of the HWM index is derived. Simulations show that in most … cases unbalanced samples and ties have little effect on this distribution. The d-d plot allows for a straightforward … extension to the K-sample HWM index. As we have not been able to derive the distribution of the index for K>2, we simulate …

P-p plots contain all the information that is needed for scale-invariant comparisons. Indeed, Empirical Distribution … thus used to derive the exact finite sample distribution of the L1-version of the Fisz-Cramér-von Mises test. Comparing … this distribution with the (known) limiting distribution shows that the latter can always be used for hypothesis testing …