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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 | - |