On the approximation of empirical data for service system simulations

Alexander Finlayson

    Research output: Contribution to journalArticlepeer-review


    The difficulties associated with parameter estimation for phase-type approximations of empirical data distributions in queue modelling are well known. While significant progress has been achieved in improving such approximations, difficulties in parameter estimation still limit the extent to which queue modelling is applied in practice. This paper presents a simplified technique for approximating empirical data in service system simulations, based on the specialised Cox phase-type distribution. When utilised in
    simulation modelling of a service system, the specialised Cox distribution is shown to provide improved approximations to the combined waiting and service time distribution without the need for complex parameter estimation techniques. This approach should enable much greater flexibility in the application of queue modelling to service systems.
    Original languageEnglish
    Pages (from-to)1021-1029
    Number of pages9
    JournalJournal of the Operational Research Society
    Issue number2013
    Publication statusPublished - 2013


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