Application of the Monte-Carlo simulation for the statistical testing of the hypothesis that a steady-state distribution of the number of customers in the queueing system GI/G/∞ tends to the normal distribution in the case of heavy traffic

DOI10.15407/dopovidi2016.05.030zbMath1363.90058OpenAlexW2402466115MaRDI QIDQ2818896

No author found.

Publication date: 27 September 2016

Published in: Reports of the National Academy of Sciences of Ukraine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15407/dopovidi2016.05.030

zbMATH Keywords

Monte Carlo methodheavy trafficnormal distributionqueueing system\(\chi^2\)-criterion

Mathematics Subject Classification ID

Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Related Items

Statistical testing of the hypothesis that the number of customers in the \(GI/G/\infty\) queueing system has an asymptotically normal distribution in heavy traffic