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Asymptotic results for the best-choice problem with a random number of objects

Published online by Cambridge University Press:  14 July 2016

Masami Yasuda
Masami Yasuda*
Affiliation:
Chiba University
*
∗ Postal address: College of General Education, Chiba University, Yayoi-cho, Chiba, 260, Japan.
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Abstract

This paper considers the best-choice problem with a random number of objects having a known distribution. The optimality equation of the problem reduces to an integral equation by a scaling limit. The equation is explicitly solved under conditions on the distribution, which relate to the condition for an OLA policy to be optimal in Markov decision processes. This technique is then applied to three different versions of the problem and an exact value for the asymptotic optimal strategy is found.

Keywords

OPTIMAL STOPPING PROBLEMBEST CHOICERANDOM NUMBER OF OBJECTSSCALING LIMIT

Information

Type
Research Papers
Information
Journal of Applied Probability , Volume 21 , Issue 3 , September 1984 , pp. 521 - 536
Copyright
Copyright © Applied Probability Trust 1984 

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