Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/70686
DC FieldValueLanguage
dc.contributor統計系en_US
dc.creator洪英超zh_TW
dc.creatorHung, Ying-Chaoen_US
dc.date2014.03en_US
dc.date.accessioned2014-10-20T10:24:19Z-
dc.date.available2014-10-20T10:24:19Z-
dc.date.issued2014-10-20T10:24:19Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/70686-
dc.description.abstractA software package, rBeta2009, developed to generate beta random numbers and Dirichlet random vectors in R is presented. The package incorporates state-of-the-art algorithms so as to minimize the computer generation time. In addition, it is designed in a way that (i) the generation efficiency is robust to changes of computer architecture; (ii) memory allocation is flexible; and (iii) the exported objects can be easily integrated with other software. The usage of this package is then illustrated and evaluated in terms of various performance metrics.en_US
dc.format.extent412146 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.relationComputational Statistics & Data Analysis, 71(0), 1011-1020en_US
dc.subjectR; Beta variates;Dirichlet random vectors; Computer time;Kolmogorov–Smirnov test;Ljung–Box testen_US
dc.titleGenerating Beta Random Numbers and Dirichlet Random Vectors in R: The Package rBeta2009en_US
dc.typearticleen
dc.identifier.doi10.1016/j.csda.2013.02.019en_US
dc.doi.urihttp://dx.doi.org/10.1016/j.csda.2013.02.019en_US
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.grantfulltextrestricted-
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