A Comparison of Some Approximate Confidence Intervals for the Binomial Parameter
Journal of the American Statistical AssociationPublished 1 December 1979
B. K. Ghosh
Citations128
SJR quartileQ1
SJR score4.10
SNIP3.08
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Abstract We consider two confidence intervals for the binomial parameter that are frequently recommended for large samples. We show that one of these, which is in fact less popular in the literature, enjoys certain advantages over the other one. The criteria used for comparison are the confidence coefficients, the lengths, and the Neyman shortness of the intervals.
Keywords
MathematicsDecision Sciences
Journal of the Franklin InstituteAn introduction to probability theory and its applications
29,966 Citations1958
BiometrikaTHE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL
4,753 Citations1934C. J. Clopper, E. S. Pearson
The Annals of Mathematical StatisticsThe Efficiency of Some Nonparametric Competitors of the $t$-Test
587 Citations1956J. L. Hodges, E. L. Lehmann
The Annals of Mathematical StatisticsSome Approximations to the Binomial Distribution Function
72 Citations1960R. R. Bahadur
The American StatisticianA Comparison of Two Tests for Equality of Two Proportions
52 Citations1977Keith R. Eberhardt, Michael A. Fligner
Journal of the American Statistical AssociationApproximating the Upper Binomial Confidence Limit
42 Citations1967T. W. Anderson, Herman Burstein
Journal of the American Statistical AssociationApproximating the Lower Binomial Confidence Limit
23 Citations1968T. W. Anderson, Herman Burstein
BiometrikaInterval estimation for the parameter of a binomial distribution
20 Citations1958C. W. Clunies-Ross
Theory of Probability and Its ApplicationsConvergent and Asymptotic Expansions for Probability Distributions
14 Citations1967V. M. Kalinin