Sample sizes for improved binomial confidence intervals

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Sample size equations are reviewed for different types of confidence intervals on a binomial success probability. Based on recommendations for improved binomial confidence limits given by Brown et al. (Statist. Sci. 16 (2001) 101), the intervals expand upon or enhance the traditional Wald-type interval. Some useful sample size relations appear.

Original languageEnglish (US)
Pages (from-to)309-316
Number of pages8
JournalComputational Statistics and Data Analysis
Volume46
Issue number2
DOIs
StatePublished - Jun 1 2004
Externally publishedYes

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Confidence interval
Sample Size
Confidence Limits
Interval
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Sample size
Confidence

Keywords

  • Agresti-Coull interval
  • Binomial probability
  • Jeffreys interval
  • Sample size determination
  • Score interval
  • Wald interval
  • Wilson interval

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Numerical Analysis
  • Statistics and Probability

Cite this

Sample sizes for improved binomial confidence intervals. / Piegorsch, Walter W.

In: Computational Statistics and Data Analysis, Vol. 46, No. 2, 01.06.2004, p. 309-316.

Research output: Contribution to journalArticle

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