Statistical Testing of the Hypothesis that the Number of Customers in the G I / G / ∞ Queueing System Has an Asymptotically Normal Distribution in Heavy Traffic

被引：0
作者：
Kuznetsov I.N. [1 ]
机构：
[1] Physico-Technical Institute of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv
来源：
Cybernetics and Systems Analysis | 2017年 / 53卷 / 3期
关键词：
asymptotically normal distribution; heavy traffic; Monte Carlo method; queueing system; statistical hypothesis; steady-state distribution;
D O I：
10.1007/s10559-017-9946-2
中图分类号：
学科分类号：
摘要：
The queueing system G I /G/ ∞ in heavy traffic is considered. Statistical data are generated using Monte Carlo simulation. This article investigates the possibility to use some statistical criteria for testing the hypothesis that the number of customers in the system has an asymptotically normal distribution in its steady state. Numerical examples are given. © 2017, Springer Science+Business Media New York.
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页码：450 / 455
页数：5
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