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A generalization of the classical secretary problem: dependent arrival sequences

Published online by Cambridge University Press:  14 July 2016

J. H. Reeves*
Affiliation:
University of Georgia
V. F. Flack*
Affiliation:
University of California, Los Angeles
*
Postal address: Department of Statistics, University of Georgia, Athens, GA 30602, USA.
∗∗ Postal address: Division of Biostatistics, School of Public Health, UCLA, CA 90024, USA.

Abstract

This paper presents new methods for selecting the best population value under the classical secretary problem sequential selection rules. Unlike the classical case, the possible population arrival sequences considered here are not necessarily equally likely. When arrival orders in the sequence are rank dependent, the performance of the optimal solution to the standard problem (totally random arrival order assumed) is very poor, compared with procedures designed to guard against non-uniform arrival orders.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1988 

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References

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