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dc.contributor.authorGil Gómez, Amparo 
dc.contributor.authorSegura Sala, José Javier 
dc.contributor.authorTemme, N. M.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-09-28T09:29:56Z
dc.date.available2020-09-28T09:29:56Z
dc.date.issued2020
dc.identifier.issn1068-9613
dc.identifier.issn1097-4067
dc.identifier.otherMTM2015-67142-Pes_ES
dc.identifier.otherPGC2018-098279-B-I00es_ES
dc.identifier.urihttp://hdl.handle.net/10902/19193
dc.description.abstractABSTRACT: The computation and inversion of the binomial and negative binomial cumulative distribution functions play a key role in many applications. In this paper, we explain how methods used for the central beta distribution function (described in Gil, Segura, and Temme, [Numer. Algorithms, 74 (2017), pp. 77?91]) can be utilized to obtain asymptotic representations of these functions and also for their inversion. The performance of the asymptotic inversion methods is illustrated with numerical examples.es_ES
dc.description.sponsorshipAcknowledgments. The authors thank the anonymous referees for their constructive comments and suggestions. This work was supported by Ministerio de Ciencia e Innovación, Spain, projects MTM2015-67142-P (MINECO/FEDER, UE) and PGC2018-098279-B-I00 (MCIU/AEI/FEDER, UE). NMT thanks CWI, Amsterdam, for scientific support.es_ES
dc.format.extent11 p.es_ES
dc.language.isoenges_ES
dc.publisherKent State Universityes_ES
dc.rights© Kent State Universityes_ES
dc.sourceElectronic Transactions on Numerical Analysis V.52 pp 270-280, 2020es_ES
dc.titleAsymptotic inversion of the binomial and negative binomial cumulative distribution functionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1553/etna_vol52s270
dc.type.versionpublishedVersiones_ES


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