Sample sizes for improved binomial confidence intervals

Walter W. Piegorsch

doi:10.1016/j.csda.2003.10.002

Sample sizes for improved binomial confidence intervals

Walter W. Piegorsch

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

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 language	English (US)
Pages (from-to)	309-316
Number of pages	8
Journal	Computational Statistics and Data Analysis
Volume	46
Issue number	2
DOIs	https://doi.org/10.1016/j.csda.2003.10.002
State	Published - Jun 1 2004
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

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10.1016/j.csda.2003.10.002

Cite this

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title = "Sample sizes for improved binomial confidence intervals",

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.",

keywords = "Agresti-Coull interval, Binomial probability, Jeffreys interval, Sample size determination, Score interval, Wald interval, Wilson interval",

author = "Piegorsch, {Walter W.}",

note = "Funding Information: This work was supported by National Cancer Institute Grant no R01-CA76031. Its contents are solely the responsibility of the author and do not necessarily reflect the official views of the U.S. National Cancer Institute. Thanks are due to R. Webster West, Alan Agresti, the Editor, Associate Editor, and two anonymous referees for their helpful comments.",

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AU - Piegorsch, Walter W.

N1 - Funding Information: This work was supported by National Cancer Institute Grant no R01-CA76031. Its contents are solely the responsibility of the author and do not necessarily reflect the official views of the U.S. National Cancer Institute. Thanks are due to R. Webster West, Alan Agresti, the Editor, Associate Editor, and two anonymous referees for their helpful comments.

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N2 - 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.

AB - 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.

KW - Agresti-Coull interval

KW - Binomial probability

KW - Jeffreys interval

KW - Sample size determination

KW - Score interval

KW - Wald interval

KW - Wilson interval

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SP - 309

EP - 316

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

IS - 2

ER -

Sample sizes for improved binomial confidence intervals

Abstract

Keywords

ASJC Scopus subject areas

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