Abstract
We derive the exact finite sample distribution of the L-1 -version of the Fisz-Cramer-von Mises test statistic (FCvM(1)). We first characterize the set of all distinct sample p-p plots for two balanced samples of size n absent ties. Next, we order this set according to the corresponding value of FCvM(1). Finally, we link these values to the probabilities that the underlying p-p plots emerge. Comparing the finite sample distribution with the (known) limiting distribution shows that the latter can always be used for hypothesis testing: although for finite samples the critical percentiles of the limiting distribution differ from the exact values, this will not lead to differences in the rejection of the underlying hypothesis.
| Original language | English |
|---|---|
| Pages (from-to) | 1304-1317 |
| Number of pages | 14 |
| Journal | Communications in Statistics - Simulation and Computation |
| Volume | 43 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
Keywords
- EDF test
- Finite sample distribution
- Limiting distribution
- Sample p-p plot
- SMIRNOV TEST
- MISES
- AREA
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