Journal ArticleDOI
Ensemble confidence intervals for binomial proportions
Hayeon Park,Lawrence M. Leemis +1 more
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A confidence interval for p based on the actual coverage function that combines several existing approximate confidence intervals that has improved statistical properties over the constituent confidence intervals is devised.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.read more
Citations
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Extending critical infrastructure element longevity using constellation-based ID verification
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Statistical Analysis Methods Applied to Early Outpatient COVID-19 Treatment Case Series Data
TL;DR: In this paper , a statistical framework for analyzing the case series of patients treated with such new protocols, that enables a comparison with our prior knowledge of expected outcomes, in the absence of treatment.
Journal ArticleDOI
Confidence intervals for the proportion of conformance
Chung Han Lee,Hsiuying Wang +1 more
TL;DR: The proportion of conformance is defined as the proportion of products with quality characteristic inside the specification limits as discussed by the authors, and the construction of confidence interval is used to measure the conformance of a product.
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Active 2D-DNA Fingerprinting of WirelessHART Adapters to Ensure Operational Integrity in Industrial Systems
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Posted ContentDOI
Frequentist and Bayesian analysis methods for case series data and application to early outpatient COVID-19 treatment case series of high risk patients (preprint)
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References
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Journal ArticleDOI
The use of confidence or fiducial limits illustrated in the case of the binomial
C. J. Clopper,E. S. Pearson +1 more
Journal ArticleDOI
Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
Alan Agresti,Brent A. Coull +1 more
TL;DR: For example, this paper showed that using the adjusted Wald test with null rather than estimated standard error yields coverage probabilities close to nominal confidence levels, even for very small sample sizes, and that the 95% score interval has similar behavior as the adjusted-Wald interval obtained after adding two "successes" and two "failures" to the sample.
Journal ArticleDOI
Probable Inference, the Law of Succession, and Statistical Inference
TL;DR: In this article, Probable Inference, the Law of Succession, and Statistical Inference are discussed, with a focus on the law of succession in probabilistic inference.
Journal ArticleDOI
Interval Estimation for a Binomial Proportion
TL;DR: In this paper, the problem of interval estimation of a binomial proportion is revisited, and a number of natural alternatives are presented, each with its motivation and con- text, each interval is examined for its coverage probability and its length.
Journal ArticleDOI
Confidence intervals for a binomial proportion
TL;DR: Thirteen methods for computing binomial confidence intervals are compared based on their coverage properties, widths and errors relative to exact limits, and the continuity corrected score method is recommended over exact methods.