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Some non-stationary point processes with stationary forward recurrence time distribution

Published online by Cambridge University Press:  14 July 2016

Mats Rudemo*
Affiliation:
The Royal Veterinary and Agricultural University, Copenhagen

Abstract

Examples are given of point processes that are non-stationary but have stationary forward recurrence time distributions. They are obtained by modification of stationary Poisson and renewal processes.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1975 

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References

Chung, K. L. (1972) Crudely stationary counting processes. Amer. Math. Monthly 79, 867877.CrossRefGoogle Scholar
Goldman, J. R. (1967) Stochastic point processes: Limit theorems. Ann. Math. Statist. 38, 771779.CrossRefGoogle Scholar
Lawrance, A. J. (1970) Selective interaction of a Poisson and renewal process: First-order stationary point results. J. Appl. Prob. 7, 359372.CrossRefGoogle Scholar
Lawrance, A. J. (1974) Theory of interevent interval distributions for stationary point processes. Information and Control. 25, 299316.CrossRefGoogle Scholar
Leadbetter, M. R. (1966) On streams of events and mixtures of streams. J. R. Statist. Soc. B 28, 218227.Google Scholar
Lee, P. M. (1968) Some examples of infinitely divisible point processes. Studia Sci. Math. Hung. 3, 219224.Google Scholar
Moran, P. A. P. (1967) A non-Markovian quasi-Poisson process. Studia Sci. Math. Hung. 2, 425429.Google Scholar
Rényi, A. (1967) Remarks on the Poisson process. Studia Sci. Math. Hung. 2, 119123.Google Scholar