On the Exact Finite Sample Distribution of the L-1-FCvM Test Statistic

Jeroen Hinloopen*, Rien J. L. M. Wagenvoort

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Pages (from-to)1304-1317
Number of pages14
JournalCommunications in Statistics - Simulation and Computation
Volume43
Issue number6
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • EDF test
  • Finite sample distribution
  • Limiting distribution
  • Sample p-p plot
  • SMIRNOV TEST
  • MISES
  • AREA

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