Analysis of intensity for a queueing system: bootstrapping computation
by Yunn-Kuang Chu, Jau-Chuan Ke
International Journal of Services Operations and Informatics (IJSOI), Vol. 4, No. 3, 2009

Abstract: Traffic intensity plays an important role of system performance measures in queueing model. In this paper, we construct new confidence intervals of intensity for a queueing system, which are based on four bootstrap methods; standard bootstrap confidence interval, percentile bootstrap confidence interval, bootstrap-t confidence interval and bias-corrected and accelerated confidence interval. We also perform the accuracy of these bootstrap confidence intervals through calculating the coverage probability and the expected length of confidence intervals. Detailed discussions of the simulation results for four various types of queueing system are presented and some conclusions are provided. In addition, we demonstrate the four bootstrap confidence intervals with a real-life example.

Online publication date: Thu, 09-Jul-2009

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