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New characterizations of the no-aging property and the ℓ1-isotropic model

Published online by Cambridge University Press:  14 July 2016

Stephen E. Chick*
Affiliation:
University of Michigan
Max B. Mendel*
Affiliation:
University of California
*
Postal address: Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109–2117, USA. Email address: [email protected]
∗∗Postal address: Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720, USA

Abstract

The no-aging property and the ℓ1-isotropic model it implies have been introduced to overcome certain shortcomings of the exponential model. However, its definition is abstract and not very useful for practitioners. This paper presents several additional characterizations of the no-aging property. Included are (1) characterizations that appropriately generalize the memoryless property and the constant-failure-rate property of the exponential, (2) behavioral characterizations based on fair bets, and (3) geometric characterizations of the survival and density function and differential-geometric characterizations based on tensor methods.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1998 

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References

Abraham, R., and Marsden, J.E. (1985). Foundations of Mechanics, 2nd edn. Addison-Wesley, Redwood City, CA.Google Scholar
Barlow, R. E., and Mendel, M. B. (1992). De Finetti-type representations for life distributions. J. Amer. Statist. Assoc. 87, 11161122.CrossRefGoogle Scholar
Burke, W. L. (1985). Applied Differential Geometry. Cambridge University Press, New York.Google Scholar
Fosam, E. B., and Shanbhag, D. N. (1994). Certain characterizations of exponential and geometric distributions. J. R. Statist. Soc. B 56, 157160.Google Scholar
Galambos, J., and Hagwood, C. (1994). An unreliable server characterization of the exponential distribution. J. Appl. Prob. 31, 274279.CrossRefGoogle Scholar
Galambos, J., and Kotz, S. (1978). Characterizations of Probability Distribution. Lecture Notes in Mathematics 675, Springer, Berlin.Google Scholar
Gather, U. (1989). On a characterization of the exponential distribution by properties of order statistics. Statist. Prob. Lett. 7, 9396.Google Scholar
Huang, W. J., and Shoung, J. M. (1993). Some characterization of the exponential and geometric distributions arising in a queuing system with an unreliable server. J. Appl. Prob. 30, 985990.Google Scholar
Khalil, Z., and Dimitrov, B. (1994). The service time properties of an unreliable server characterize the exponential distribution. Adv. Appl. Prob., 26, 172182.Google Scholar
Lau, K. S., and Rao, C. R. (1982). Integrated Cauchy functional equation and characterizations of the exponential law. Sankhyā A 44, 7290.Google Scholar
Marshall, A. (1975). Some comments on the hazard gradient. Stoch. Proc. Appl. 3, 293300.Google Scholar
Marshall, A. W., and Olkin, I. (1979). Inequalities: Theory of Majorisation and Its Applications. Academic Press, New York.Google Scholar
Santaló, L. A. (1976). Integral Geometry and Geometric Probability. Addison–Wesley, Reading, MA.Google Scholar
Spizzichino, F. (1992). Reliability decision problems under conditions of aging. In Bayesian Statistics 4, ed. Bernado, J. et al., Oxford University Press, pp. 803811.Google Scholar
Too, Y. H., and Lin, G. D. (1989). Characterizations of uniform and exponential distributions. Statist. Prob. Lett. 7, 357359.Google Scholar