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 |
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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