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Optimal stopping rules in proofreading

Published online by Cambridge University Press:  14 July 2016

Mark C. K. Yang ,
Dennis D. Wackerly  and
Andrew Rosalsky
Mark C. K. Yang*
Affiliation:
University of Florida
Dennis D. Wackerly*
Affiliation:
University of Florida
Andrew Rosalsky*
Affiliation:
University of Florida
*
∗ Postal address: Department of Statistics, Nuclear Sciences Center, University of Florida, Gainesville, FL 32611, U.S.A.
∗ Postal address: Department of Statistics, Nuclear Sciences Center, University of Florida, Gainesville, FL 32611, U.S.A.
∗ Postal address: Department of Statistics, Nuclear Sciences Center, University of Florida, Gainesville, FL 32611, U.S.A.
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Abstract

Optimal stopping rules under various conditions are obtained for a proofreader who has a probability p (known or unknown) of detecting a misprint in proofsheets which contain an unknown but Poisson-distributed number of misprints.

Keywords

PROOFREADINGOPTIMAL STOPPINGPOISSON DISTRIBUTIONBETA DISTRIBUTIONGAMMA DISTRIBUTION

Information

Type
Short Communications
Information
Journal of Applied Probability , Volume 19 , Issue 3 , September 1982 , pp. 723 - 729
Copyright
Copyright © Applied Probability Trust 1982 

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References

Bartle, R. G. (1964) The Elements of Real Analysis. Wiley, New York.Google Scholar
Degroot, M. H. (1970) Optimal Statistical Decisions. McGraw-Hill, New York.Google Scholar
Feller, W. (1968) An Introduction to Probability Theory and Its Applications. Vol. I, 3rd edn. Wiley, New York.Google Scholar
Pólya, G. (1976) Probabilities in proofreading. Amer. Math. Monthly 83, 42.CrossRefGoogle Scholar