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

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Дата:2016
Автор: I. M. Kuznietsov
Формат: Стаття
Мова:Англійська
Опубліковано: 2016
Назва видання:Reports of the National Academy of Sciences of Ukraine
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0000815731
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author I. M. Kuznietsov
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spelling open-sciencenbuvgovua-542582024-02-29T13:15:01Z 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 I. M. Kuznietsov 1025-6415 2016 en Reports of the National Academy of Sciences of Ukraine http://jnas.nbuv.gov.ua/article/UJRN-0000815731 Article
spellingShingle Reports of the National Academy of Sciences of Ukraine
I. M. Kuznietsov
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
url http://jnas.nbuv.gov.ua/article/UJRN-0000815731
work_keys_str_mv AT imkuznietsov applicationofthemontecarlosimulationforthestatisticaltestingofthehypothesisthatasteadystatedistributionofthenumberofcustomersinthequeueingsystemgigtendstothenormaldistributioninthecaseofheavytraffic