Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T18:28:01.309Z Has data issue: false hasContentIssue false

Order statistics, Poisson processes and repairable systems

Published online by Cambridge University Press:  14 July 2016

Douglas R. Miller*
Affiliation:
University of Missouri - Columbia

Abstract

Necessary and sufficient conditions are presented under which the point processes equivalent to order statistics of n i.i.d. random variables or superpositions of n i.i.d. renewal processes converge to a non-degenerate limiting process as n approaches infinity. The limiting process must be one of three types of non-homogeneous Poisson process, one of which is the Weibull process. These point processes occur as failure-time models in the reliability theory of repairable systems.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1976 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Ascher, H. E. (1968) Evaluation of repairable system reliability using the ‘bad-as-old’ concept. IEEE Trans. Reliability R-17, 103110.Google Scholar
[2] Barlow, R. E. and Hunter, L. C. (1960) Optimum preventive maintenance policies. Operat. Res. 9, 90100.Google Scholar
[3] Barlow, R. E. and Proschan, F. (1975a) Statistical Theory of Reliability and Life Testing, Vol. I: Probability Models. Holt, Rinehart and Winston, New York.Google Scholar
[4] Barlow, R. E. and Proschan, F. (1975b) Theory of maintained systems: distribution of time to first system failure. FSU Statistics Report No. M.330.Google Scholar
[5] Bassin, W. M. (1973) A Bayesian optimal overhaul interval model for Weibull restoration process. J. Amer. Statist. Assoc. 68, 575578.Google Scholar
[6] Brown, M. (1975) The first passage time distribution for a parallel exponential system with repair. In Reliability and Fault Tree Analysis, ed. Barlow, R. E., Fussel, J. B. and Singpurwalla, N. D. SIAM, Philadelphia.Google Scholar
[7] Çinlar, E. (1971) Superposition of point processes. In Stochastic Point Processes: Statistical Analysis, Theory and Applications, ed. Lewis, P. A. W. Wiley, New York, 549606.Google Scholar
[8] Crow, L. H. (1974) Reliability analysis for complex repairable systems. In Reliability and Biometry, ed. Proschan, F. and Serfling, R. J. SIAM, Philadelphia.Google Scholar
[9] Daley, D. J. and Vere-Jones, D. (1971) A summary of the theory of point processes. In Stochastic Point Processes: Statistical Analysis, Theory and Applications, ed. Lewis, P. A. W. Wiley, New York, 299383.Google Scholar
[10] Dehaan, L. (1970) On regular variation and its applications to the weak convergence of sample extremes. Mathematical Centre Tracts, Amsterdam.Google Scholar
[11] Dwass, M. (1964) Extremal processes. Ann. Math. Statist. 35, 17181725.CrossRefGoogle Scholar
[12] Gnedenko, B. V. (1943) Sur la distribution limitée du terme maximum d'une serie aléatoire. Ann. Math. 44, 423453.CrossRefGoogle Scholar
[13] Grigelionis, B. (1963) On the convergence of sums of random step processes to Poisson processes. Theor. Prob. Appl. 8, 177182.CrossRefGoogle Scholar
[14] Karlin, S. (1966) A First Course in Stochastic Processes. Academic Press, New York.Google Scholar
[15] Lamperti, J. (1964) On extreme order statistics. Ann. Math. Statist. 35, 17261737.Google Scholar
[16] Ross, S. M. (1974a) Multicomponent reliability systems. ORC 74–4, Operations Research Center, Berkeley.Google Scholar
[17] Ross, S. M. (1974b) On the time to first failure in multicomponent exponential reliability systems. ORC 74–8, Operations Research Center, Berkeley.Google Scholar
[18] Smirnoff, N. V. (1949) Limit distributions for the terms of a variational series (English Translation; Amer. Math. Soc. Transl. (1), 67, (1952)).Google Scholar
[19] Thompson, W. A. (1969) Applied Probability. Holt, Rinehart and Winston, New York.Google Scholar
[20] Whitt, W. (1973) Representation and convergence of point processes on the line. Yale University Technical Report.Google Scholar