Ensemble confidence intervals for binomial proportions
Hayeon Park, Lawrence M. Leemis
Abstract
Hayeon Park, Lawrence M. Leemis
Abstract
We propose two measures of performance for a confidence interval for a binomial proportion p: the root mean squared error and the mean absolute deviation. We also devise a confidence interval for p based on the actual coverage function that combines several existing approximate confidence intervals. This "Ensemble" confidence interval has improved statistical properties over the constituent confidence intervals. Software in an R package, which can be used in devising and assessing these confidence intervals, is available on CRAN.
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We propose two measures of performance for a confidence interval for a binomial proportion p: the root mean squared error and the mean absolute deviation. We also devise a confidence interval for p based on the actual coverage function that combines several existing approximate confidence intervals. This "Ensemble" confidence interval has improved statistical properties over the constituent confidence intervals. Software in an R package, which can be used in devising and assessing these confidence intervals, is available on CRAN.
Key concepts: Confidence interval, Binomial proportion confidence interval, Robust confidence intervals, CDF-based nonparametric confidence interval, Statistics, Confidence distribution, Credible interval, Tolerance interval