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Confidence intervals for the mean in the bounded case

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  • Fishman, George S.

Abstract

This paper describes a 100 x (1 - [alpha]) percent confidence interval for the mean of a bounded random variable that holds for every sample size n and avoids the error of approximation that assuming normality induces.

Suggested Citation

  • Fishman, George S., 1991. "Confidence intervals for the mean in the bounded case," Statistics & Probability Letters, Elsevier, vol. 12(3), pages 223-227, September.
    • Handle: RePEc:eee:stapro:v:12:y:1991:i:3:p:223-227
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    Cited by:

    1. Karl Schlag, 2008. "A new method for constructing exact tests without making any assumptions," Economics Working Papers 1109, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Yves G. Berger & Paola M. Chiodini & Mariangela Zenga, 2021. "Bounds for monetary-unit sampling in auditing: an adjusted empirical likelihood approach," Statistical Papers, Springer, vol. 62(6), pages 2739-2761, December.

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    Keywords

    Confidence interval;

    Statistics

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