A Permutation test for matching and its asymptotic distribution

Larry Goldstein, Yosef Rinott

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We consider a permutation method for testing whether observations given in their natural pairing exhibit an unusual level of similarity in situations where any two observations may be similar at some unknown baseline level. Under a null hypotheses where there is no distinguished pairing of the observations, a normal approximation with explicit bounds and rates is presented for determining approximate critical test levels.

Original languageEnglish
Pages (from-to)375-388
Number of pages14
JournalMetron
Volume61
Issue number3
StatePublished - 2003

Keywords

  • Normal Approximation
  • Similarity
  • Stein's Method

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