Nonparametric multiple testing procedures

Arthur Cohen, Yingqiu Ma, Harold Sackrowitz

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Assume that we have ni independent observations from each of k independent populations. Each population has the same distribution except for a translation parameter. We are interested in specific pairwise differences of the parameters in various settings, such as treatment vs. control, change point or all pairwise differences. We propose new multiple testing procedures for the pairwise differences. The new procedures are based on ranks and they have desirable practical properties not shared by existing procedures. These include tests that satisfy the interval property. Furthermore, the test method provides an interval that serves as an estimate of the difference in the parameters of interest.

Original languageEnglish (US)
Pages (from-to)1753-1765
Number of pages13
JournalJournal of Statistical Planning and Inference
Volume143
Issue number10
DOIs
StatePublished - Oct 2013

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Keywords

  • Interval property
  • Permutation tests
  • Rank sum interval
  • Rank tests
  • Treatment vs. control

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