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Characterizations of the Exponential Distribution via the Blocking Time in a Queueing System with an Unreliable Server

Published online by Cambridge University Press:  14 July 2016

Jian-Lun Xu*
Affiliation:
University of Houston
*
Postal address: Department of Mathematics, University of Houston, Houston, TX 77204–3476, USA.

Abstract

The characterization of the exponential distribution via the coefficient of the variation of the blocking time in a queueing system with an unreliable server, as given by Lin (1993), is improved by substantially weakening the conditions. Based on the coefficient of variation of certain random variables, including the blocking time, the normal service time and the minimum of the normal service and the server failure times, two new characterizations of the exponential distribution are obtained.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1998 

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References

Dimitrov, B., and Khalil, Z. (1990). On a new characterization of the exponential distribution related to a queueing system with an unreliable server. J. Appl. Prob. 27, 221226.Google Scholar
Galambos, J., and Hagwood, C. (1994). An unreliable server characterization of the exponential distribution. J. Appl. Prob. 31, 274279.Google Scholar
Lin, G. D. (1993). Characterization of the exponential distribution via the blocking time in a queueing system. Statist. Sinica 3, 577581.Google Scholar
Van Harn, K., and Steutel, F. W. (1991). On a characterizations of the exponential distribution. J. Appl. Prob. 28, 947949.CrossRefGoogle Scholar
Wijsman, R. A. (1985). A useful inequality on ratios of integrals, with application to maximum likelihood estimation. J. Amer. Statist. Assoc. 80, 472475.Google Scholar