More Powerful Tests from Confidence Interval p Values

Roger L. Berger

Research output: Contribution to journalArticle

51 Scopus citations

Abstract

In this article the problem of comparing two independent binomial populations is considered. It is shown that the test based on the confidence interval pvalue of Berger and Boos often is uniformly more powerful than the standard unconditional test. This test also requires less computational time.

Original languageEnglish (US)
Pages (from-to)314-318
Number of pages5
JournalAmerican Statistician
Volume50
Issue number4
DOIs
StatePublished - Nov 1996

Keywords

  • Binomial
  • Confidence interval
  • Contingency table
  • Homogeneity test
  • Independence

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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