On sampling and the estimation of rare errors

DOI10.1093/biomet/66.1.125zbMath0403.62017OpenAlexW2037584257MaRDI QIDQ4188583

E. J. Snell, David R. Cox

Publication date: 1979

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/66.1.125

zbMATH Keywords

AuditingBayesian InferencePoisson DistributionOptimal SamplingFinite PopulationEstimation of Rare ErrorsLength Biased SamplingSampling Superpopulation Model

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

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Confidence intervals for data containing many zeros and ones based on empirical likelihood-type methods ⋮ Variance bounds for the design of audit sampling ⋮ Empirical likelihood-based confidence intervals for data with possible zero observations. ⋮ Medical overpayment estimation: A Bayesian approach ⋮ Modified empirical likelihood-based confidence intervals for data containing many zero observations ⋮ Application of two gamma distributions mixture to financial auditing ⋮ Sampling Bias and Logistic Models ⋮ Optimal Bounds Used in Dollar-Unit Sampling: A Comparison of Reliability and Efficiency ⋮ Bounds for monetary-unit sampling in auditing: an adjusted empirical likelihood approach ⋮ A Mixed Model for Double Checking Fallible Auditors

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