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=1 tends to the normal distribution in the case of heavy traffic

Authors

  • I. N. Kuznetsov V. M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Kiev

DOI:

https://doi.org/10.15407/dopovidi2016.05.030

Keywords:

The queueing system GI/G/∞ in a heavy traffic is considered. A statistical testing of the hypothesis that a steady-state distribution of the number of customers tends to the normal distribution is proposed. The χ2-criterion enables us to determine a minimal load, from which the statistical data don’t contradict this hypothesis.

Abstract

The queueing system GI/G/∞ in a heavy traffic is considered. A statistical testing of the hypothesis that a steady-state distribution of the number of customers tends to the normal distribution is proposed. The χ2-criterion enables us to determine a minimal load, from which the statistical data don’t contradict this hypothesis.

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References

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Published

27.10.2024

How to Cite

Kuznetsov, I. N. (2024). 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=1 tends to the normal distribution in the case of heavy traffic. Reports of the National Academy of Sciences of Ukraine, (5), 30–35. https://doi.org/10.15407/dopovidi2016.05.030

Issue

Section

Information Science and Cybernetics