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Expectations and variances of stopping variables in sequential selection processes

Published online by Cambridge University Press:  14 July 2016

M. Henke
M. Henke*
Affiliation:
University of Bonn
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Abstract

A sequential stochastic decision process with independent random variables is considered in which the decision maker selects a chance with a certain probability at each time period or at random times. If the decision maker has selected m chances, the process has to be stopped. The expectation and the variance of the stopping variable are determined for a finite and an infinite decision horizon.

Keywords

SEQUENTIAL SELECTION PROCESSESSTOPPING RULE PROBLEM WITH m STOPPING POINTSEXPECTATION OF STOPPING VARIABLESVARIANCES OF STOPPING VARIABLES
Type
Research Papers
Information
Journal of Applied Probability , Volume 10 , Issue 4 , December 1973 , pp. 786 - 806
Copyright
Copyright © Applied Probability Trust 1973 

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