Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7353
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dc.contributor.authorYalta, Abdullah Talha-
dc.contributor.authorSchreiber, Sven-
dc.date.accessioned2021-09-11T15:56:34Z-
dc.date.available2021-09-11T15:56:34Z-
dc.date.issued2012en_US
dc.identifier.issn1548-7660-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7353-
dc.description.abstractThe increasing popularity and complexity of random number intensive methods such as simulation and bootstrapping in econometrics requires researchers to have a good grasp of random number generation in general, and the specific generators that they employ in particular. Here, we discuss the random number generation options, their specifications, and their implementations in gretl. We also assess the performance and the reliability of gretl in this department by conducting extensive empirical testing using the TestU01 library. Our results show that the available alternatives are soundly implemented and should be sufficient for most econometric applications.en_US
dc.language.isoenen_US
dc.publisherJournal Statistical Softwareen_US
dc.relation.ispartofJournal of Statistical Softwareen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgretlen_US
dc.subjectTestU01en_US
dc.subjectRNGen_US
dc.subjectrandom numbersen_US
dc.titleRandom Number Generation in gretlen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Economics and Administrative Sciences, Department of Economicsen_US
dc.departmentFakülteler, İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümütr_TR
dc.identifier.volume50en_US
dc.identifier.issueCS1en_US
dc.identifier.startpage1en_US
dc.identifier.endpage13en_US
dc.identifier.wosWOS:000326871800001en_US
dc.institutionauthorYalta, Abdullah Talha-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept04.01. Department of Economics-
Appears in Collections:İktisat Bölümü / Department of Economics
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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