Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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AN IMPROVED CONFIDENCE INTERVAL FOR THE POPULATION PROPORTION IN A DOUBLE SAMPLING SCHEME SUBJECT TO FALSE-POSITIVE MISCLASSIFICATION

  • Published : 2007.06.30
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Abstract

Confidence intervals for the population proportion in a double sampling scheme subject to false-positive misclassification are considered. The confidence intervals are obtained by applying Agresti and Coull's approach, so-called "adding two-failures and two successes". They are compared in terms of coverage probabilities and expected widths with the Wald interval and the confidence interval given by Boese et al. (2006). The latter one is a test-based confidence interval and is known to have good properties. It is shown that the Agresti and Coull's approach provides a relatively simple but effective confidence interval.

Keywords

References

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