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On the approximation of empirical data for service system simulations

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  • A Finlayson

    (Teesside University Business School, Tees Valley, UK)

Abstract

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.

Suggested Citation

  • A Finlayson, 2013. "On the approximation of empirical data for service system simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(7), pages 1021-1029, July.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:7:p:1021-1029
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