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Semi-Markov modulated Poisson process: probabilistic and statistical analysis

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Abstract

We consider a Poisson process that is modulated in such a way that the arrival rate at any time depends on the state of a semi-Markov process. This presents an interesting generalization of Poisson processes with important implications in real life applications. Our analysis concentrates on the transient as well as the long term behaviour of the arrival count and the arrival time processes. We discuss probabilistic as well as statistical issues related to various quantities of interest.

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Authors and Affiliations

  1. Department of Industrial Engineering, Koç University, 34450, Sarıyer-İstanbul, Turkey

    S. Özekici

  2. Department of Management Science, The George Washington University, Washington, DC, 20052, USA

    R. Soyer

Authors
  1. S. Özekici
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  2. R. Soyer
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Correspondence to S. Özekici.

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Özekici, S., Soyer, R. Semi-Markov modulated Poisson process: probabilistic and statistical analysis. Math Meth Oper Res 64, 125–144 (2006). https://doi.org/10.1007/s00186-006-0067-3

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  • DOI: https://doi.org/10.1007/s00186-006-0067-3

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