Testing for central symmetry

John H.J. Einmahl, Zhuojiong Gan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


Omnibus tests for central symmetry of a bivariate probability distribution are proposed. The test statistics compare empirical measures of opposite regions. Under rather weak conditions, we establish the asymptotic distribution of the test statistics under the null hypothesis; it follows that they are asymptotically distribution-free. After a simple transformation of the data, tests for central symmetry can also be employed for testing exchangeability. In a simulation study the good finite sample performance of the test procedures is shown.

Original languageEnglish
Pages (from-to)27-33
Number of pages7
JournalJournal of Statistical Planning and Inference
Publication statusPublished - 2016
Externally publishedYes


  • Distribution-free
  • Empirical process
  • Exchangeability
  • Hypothesis test
  • Symmetry


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