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Poisson Arrivals See Time Averages

1982/04/01 by Ronald W. Wolff · 1,250 citations
Business, Management and Accounting · Mathematics · #Advanced Queuing Theory Analysis #Algorithm #Applied mathematics #Compound Poisson process #Computer science #Fraction (chemistry) #Markovian arrival process #Mathematical economics #Mathematics #Poisson distribution #Poisson process #Process (computing) #Queueing theory #Random Matrices and Applications #Renewal theory #State (computer science) #Statistics #Stochastic process #Stochastic processes and statistical mechanics

paper · doi:10.1287/opre.30.2.223

published in Operations Research 30(2), 223-231 (Institute for Operations Research and the Management Sciences)

openalex publication_date 1982/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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