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Frequentist inference on traffic intensity of M/M/1 queuing system

Kaustav Dutta () and Amit Choudhury ()

Operations Research and Decisions, 2023, vol. 33, issue 1, 21-34

Abstract: When we study any queuing system, the performance measures reflect different features of the system. In the classical M/M/1 queuing system, traffic intensity is perhaps the most important performance measure. We propose a fresh and simple estimator for the same and show that it has nice properties. Our approach is frequentist. This approach has the dual advantage of practical usability and familiarity. Our proposed estimator is attractive as it possesses desirable properties. We have shown how our estimator lends itself to testing of hypothesis. Confidence intervals are constructed. Sample size determination is also discussed. A comparison with a few similar estimators is also performed.

Keywords: confidence interval; estimation; hypothesis testing; performance measures; single server Markovian model; traffic intensity (search for similar items in EconPapers)
Date: 2023
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DOI: 10.37190/ord230102

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Handle: RePEc:wut:journl:v:33:y:2023:i:1:p:21-34:id:2