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- W2160122781 abstract "SUMMARY The number of items in error in an audit population is usually quite small, whereas the error distribution is typically highly skewed to the right. For applications in statistical auditing, where line-item sampling is appropriate, a new upper confidence limit for the total error amount in an audit population is obtained. Our method involves an empirical Cornish-Fisher expansion in the first stage; in the second stage we employ the bootstrap to calibrate the coverage probability of the resulting interval estimate." @default.
- W2160122781 created "2016-06-24" @default.
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- W2160122781 date "2000-09-01" @default.
- W2160122781 modified "2023-09-27" @default.
- W2160122781 title "Miscellanea. Inference on rare errors using asymptotic expansions and bootstrap calibration" @default.
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- W2160122781 doi "https://doi.org/10.1093/biomet/87.3.689" @default.
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