Quasi-random numbers in some statistical systems
There are many ways to get random numbers. Some methods include making hardware devices that generate noise, observing cosmic ray flux and etc. Pseudo-random numbers come from mathematical functions and algorithms that provides such numbers called pseudo-random generators. The generators chosen i...
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Format: | Article |
Language: | English |
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Vilnius University Press
2000-12-01
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Series: | Lietuvos Matematikos Rinkinys |
Online Access: | https://www.zurnalai.vu.lt/LMR/article/view/35073 |
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author | Vitalija Rudzkienė |
author_facet | Vitalija Rudzkienė |
author_sort | Vitalija Rudzkienė |
collection | DOAJ |
description |
There are many ways to get random numbers. Some methods include making hardware devices that generate noise, observing cosmic ray flux and etc. Pseudo-random numbers come from mathematical functions and algorithms that provides such numbers called pseudo-random generators. The generators chosen is often that provided by the software developer. The most popular way for getting pseudo-random numbers is by statistical programming systems. In Lithuania these statistical systems are in use: Statistica, Statgraphics, SAS, SPSS. Statistical properties of random sequences, generated by these statistical systems, are investigated in this paper.
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format | Article |
id | doaj-art-29075ef434fa4e929b1b4822a2989fe9 |
institution | Kabale University |
issn | 0132-2818 2335-898X |
language | English |
publishDate | 2000-12-01 |
publisher | Vilnius University Press |
record_format | Article |
series | Lietuvos Matematikos Rinkinys |
spelling | doaj-art-29075ef434fa4e929b1b4822a2989fe92025-02-11T18:15:00ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2000-12-0140spec.10.15388/LMR.2000.35073Quasi-random numbers in some statistical systemsVitalija Rudzkienė0Vilnius Gediminas Technical University There are many ways to get random numbers. Some methods include making hardware devices that generate noise, observing cosmic ray flux and etc. Pseudo-random numbers come from mathematical functions and algorithms that provides such numbers called pseudo-random generators. The generators chosen is often that provided by the software developer. The most popular way for getting pseudo-random numbers is by statistical programming systems. In Lithuania these statistical systems are in use: Statistica, Statgraphics, SAS, SPSS. Statistical properties of random sequences, generated by these statistical systems, are investigated in this paper. https://www.zurnalai.vu.lt/LMR/article/view/35073 |
spellingShingle | Vitalija Rudzkienė Quasi-random numbers in some statistical systems Lietuvos Matematikos Rinkinys |
title | Quasi-random numbers in some statistical systems |
title_full | Quasi-random numbers in some statistical systems |
title_fullStr | Quasi-random numbers in some statistical systems |
title_full_unstemmed | Quasi-random numbers in some statistical systems |
title_short | Quasi-random numbers in some statistical systems |
title_sort | quasi random numbers in some statistical systems |
url | https://www.zurnalai.vu.lt/LMR/article/view/35073 |
work_keys_str_mv | AT vitalijarudzkiene quasirandomnumbersinsomestatisticalsystems |