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Chi-square of pseudorandom number generator of normal distribution in C++17

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dc.title Chi-square of pseudorandom number generator of normal distribution in C++17 en
dc.contributor.author Tomášek, Pavel
dc.contributor.author Tomášková, Hana
dc.contributor.author Rak, Jakub
dc.relation.ispartof TEM Journal
dc.identifier.issn 2217-8309 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 10
utb.relation.issue 4
dc.citation.spage 1495
dc.citation.epage 1499
dc.type article
dc.language.iso en
dc.publisher UIKTEN - Association for Information Communication Technology Education and Science
dc.identifier.doi 10.18421/TEM104-01
dc.relation.uri https://www.temjournal.com/content/104/TEMJournalNovember2021_1495_1499.html
dc.subject chi-square en
dc.subject pseudorandom number generator en
dc.subject C++ en
dc.subject normal distribution en
dc.description.abstract High quality pseudorandom number generators were needed in many software solutions throughout the history of programming. Nowadays, these generators play an even more significant role in software development. Generally, these generatorsbring a certain level of coincidence in some algorithmswhich need it. This work focuses on the statisticalevaluation of one of the representatives of thegenerators using Pearson's Chi-square goodness of fittest. The generator of pseudorandom numbers undertest is the specific implementation in the modernstandard of the programming language of C++ (thestandard of C++17). Results presented in this paperinform whether the numbers generated by the selectedgenerator follow the desired probability distribution(normal) © 2021. Pavel Tomášek, Hana Tomášková & Jakub Rak; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License en
utb.faculty Faculty of Logistics and Crisis Management
dc.identifier.uri http://hdl.handle.net/10563/1010772
utb.identifier.obdid 43882961
utb.identifier.scopus 2-s2.0-85121811884
utb.identifier.wok 000733414200001
utb.source j-scopus
dc.date.accessioned 2022-01-03T12:44:50Z
dc.date.available 2022-01-03T12:44:50Z
dc.description.sponsorship project of Applied informatics in population protection [RVO/FLKR/2020/04]; Department of Population Protection of Faculty of Logistics and Crisis Management at Tomas Bata University in Zlin
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Tomášek, Pavel
utb.contributor.internalauthor Tomášková, Hana
utb.contributor.internalauthor Rak, Jakub
utb.fulltext.affiliation Pavel Tomášek, Hana Tomášková, Jakub Rak Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic
utb.fulltext.dates Received: 23 July 2021 Revised: 15 September 2021 Accepted: 22 September 2021 Published: 26 November2021
utb.fulltext.sponsorship This work has been funded by the project of Applied informatics in population protection (RVO/FLKR/2020/04, RVO excelent/MSM) and by Department of Population Protection of Faculty of Logistics and Crisis Management at Tomas Bata University in Zlín.
utb.wos.affiliation [Tomasek, Pavel; Tomaskova, Hana; Rak, Jakub] Tomas Bata Univ Zlin, Nam TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic
utb.fulltext.projects RVO/FLKR/2020/04
utb.fulltext.faculty -
utb.fulltext.ou -
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Attribution-NonCommercial-NoDerivatives 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial-NoDerivatives 4.0 International