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Single-Server Queueing Model with Non-Homogeneous Compound Poisson Bulk Arrivals with Intervened Poisson DistributionBy Hemanth Kumar M., Venkateswaran M., Ganesh T., P.R. S. Reddy
Abstract: Queuing models are used to analyse the practical situations in communication networks and transportation in a sophisticated manner. In most of the cases, the arrivals are time dependent and can be characterised by a non-homogenous Poisson process. In this paper, for the performance measures of a single-server queuing model with non-homogeneous compound Poisson bulk arrivals have been studied with intervened Poisson distribution. Sensitivity analysis has been carried out. It is …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 10–21 Read article →