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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| Datum: | 2016 |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
2016
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| Schriftenreihe: | Reports of the National Academy of Sciences of Ukraine |
| Online Zugang: | 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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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 |
| institution |
Library portal of National Academy of Sciences of Ukraine | LibNAS |
| collection |
Open-Science |
| language |
English |
| series |
Reports of the National Academy of Sciences of Ukraine |
| 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 |
| format |
Article |
| author |
I. M. Kuznietsov |
| author_facet |
I. M. Kuznietsov |
| author_sort |
I. M. Kuznietsov |
| 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_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_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_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 |
| publishDate |
2016 |
| url |
http://jnas.nbuv.gov.ua/article/UJRN-0000815731 |
| work_keys_str_mv |
AT imkuznietsov applicationofthemontecarlosimulationforthestatisticaltestingofthehypothesisthatasteadystatedistributionofthenumberofcustomersinthequeueingsystemgigtendstothenormaldistributioninthecaseofheavytraffic |
| first_indexed |
2025-07-17T23:42:42Z |
| last_indexed |
2025-07-17T23:42:42Z |
| _version_ |
1850416921765216256 |