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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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | Englisch |
| 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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Library portal of National Academy of Sciences of Ukraine | LibNAS| _version_ | 1859517760208371712 |
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| author | I. M. Kuznietsov |
| author_facet | I. M. Kuznietsov |
| author_sort | I. M. Kuznietsov |
| collection | Open-Science |
| first_indexed | 2025-07-17T23:42:42Z |
| format | Article |
| id | open-sciencenbuvgovua-54258 |
| institution | Library portal of National Academy of Sciences of Ukraine | LibNAS |
| language | English |
| last_indexed | 2025-07-17T23:42:42Z |
| publishDate | 2016 |
| record_format | dspace |
| series | Reports of the National Academy of Sciences of Ukraine |
| 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 |