University of Bahrain
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Estimation of Traffic Intensity Vector of a Two Stage Open Queueing Network Models with Feedback

Show simple item record Pathare, Suresh B. Gedam, Vinayak K. 2018-11-01T11:51:57Z 2018-11-01T11:51:57Z 2018-11-01
dc.identifier.issn 2210-1519
dc.description.abstract We propose a consistent and asymptotically normal estimator for traffic intensity vector P of a two stage open queueing network model with feedback with no assumption of arrival and service time distribution. Using this estimator and its estimated covariance matrix A, a 100(1- a )% confidence region for traffic intensity vector is constructed. Standard bootstrap, Bayesian bootstrap and percentile bootstrap are applied to develop the confidence regions. Simulation study was undertaken to evaluate performance of the four confidence regions. The performances are assessed in terms of their coverage area percentage, average area and relative coverage area. Further calibration technique is used to improve the coverage area percentages of confidence regions. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Traffic intensity vector en_US
dc.subject Coverage percentage area en_US
dc.subject Relative coverage area en_US
dc.subject Relative average area en_US
dc.subject Calibration en_US
dc.subject Feedback en_US
dc.title Estimation of Traffic Intensity Vector of a Two Stage Open Queueing Network Models with Feedback en_US
dc.type Article en_US
dc.volume 05 en_US
dc.issue 02 en_US
dc.pagestart 101 en_US
dc.pageend 113 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation MITCOM, MIT Art, Design and Technology University, Pune, India en_US
dc.contributor.authoraffiliation Department of Statistics & Centre for Advanced Studies, S. P. Pune University, Pune, India en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US
dc.abbreviatedsourcetitle IJCTS en_US

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