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Multivariate age replacement

Published online by Cambridge University Press:  14 July 2016

Nader Ebrahimi*
Affiliation:
Northern Illinois University
*
Postal address: Division of Statistics, Northern Illinois University, De Kalb, Illinois, USA.

Abstract

Age replacement policy is commonly used in order to reduce the number of in-service failures. In this paper we define a multivariate version of this policy and develop some of its desirable properties. We also obtain an optimal age replacement policy.

Information

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1997 

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