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Optimal Sequential selection of n random variables under a constraint

Published online by Cambridge University Press:  14 July 2016

R. W. Chen*
Affiliation:
University of Miami
V. N. Nair*
Affiliation:
University of Miami
A. M. Odlyzko*
Affiliation:
University of Miami
L. A. Shepp*
Affiliation:
University of Miami
Y. Vardi*
Affiliation:
AT&T Bell Laboratories
*
Postal address: Department of Mathematics, University of Miami, Coral Gables, FL 33124, U.S.A.
∗∗Postal address: Mathematics and Statistics Research Center, AT&T Bell Laboratories, Murray Hill, NJ 07974, U.S.A.
∗∗Postal address: Mathematics and Statistics Research Center, AT&T Bell Laboratories, Murray Hill, NJ 07974, U.S.A.
∗∗Postal address: Mathematics and Statistics Research Center, AT&T Bell Laboratories, Murray Hill, NJ 07974, U.S.A.
∗∗Postal address: Mathematics and Statistics Research Center, AT&T Bell Laboratories, Murray Hill, NJ 07974, U.S.A.

Abstract

We observe a sequence {Xk}k≧1 of i.i.d. non-negative random variables one at a time. After each observation, we select or reject the observed variable. A variable that is rejected may not be recalled. We want to select N variables as soon as possible subject to the constraint that the sum of the N selected variables does not exceed some prescribed value C > 0. In this paper, we develop a sequential selection procedure that minimizes the expected number of observed variables, and we study some of its properties. We also consider the situation where N → ∞and C/Nα > 0. Some applications are briefly discussed.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1984 

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Footnotes

This author's research was done while consulting at Bell Laboratories.

References

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