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Poisson Arrivals See Time Averages

Operations Research · 1982 · Vol. 30(2) · pp. 223–231
Ronald W. Wolff

Abstract

In many stochastic models, particularly in queueing theory, Poisson arrivals both observe (see) a stochastic process and interact with it. In particular cases and/or under restrictive assumptions it has been shown that the fraction of arrivals that see the process in some state is equal to the fraction of time the process is in that state. In this paper, we present a proof of this result under one basic assumption: the process being observed cannot anticipate the future jumps of the Poisson process.

Stochastic processes and statistical mechanicsAdvanced Queuing Theory AnalysisRandom Matrices and ApplicationsPoisson processFraction (chemistry)Poisson distributionMarkovian arrival processCompound Poisson processQueueing theoryStochastic processProcess (computing)Renewal theoryApplied mathematics
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References
An Introduction to Probability Theory.
Journal of the American Statistical Association · 1986 · 3,328 citations
An introduction to probability theory and its applications
Journal of the Franklin Institute · 1958 · 29,713 citations
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