The transmuted birnbaum-saunders distribuition

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dc.contributor.authorBourguignon, Marcelo
dc.contributor.authorLeão, Jeremias
dc.contributor.authorLeiva, Víctor
dc.contributor.authorSantos-Neto, Manoel
dc.date.accessioned2023-01-16T19:05:01Z
dc.date.available2023-01-16T19:05:01Z
dc.date.issued2017-10
dc.description.resumoThe Birnbaum–Saunders distribution has been largely studied and applied because of its attractive properties. We introduce a transmuted version of this distribution. Various of its mathematical and statistical features are derived. We use the maximum likelihood method for estimating its parameters and determine the score vector and Hessian matrix for inference and diagnostic purposes. We evaluate the performance of the maximum likelihood estimators by a Monte Carlo study. We illustrate the potential applications of the new transmuted Birnbaum–Saunders distribution by means of three real-world data sets from different areas.pt_BR
dc.identifier.citationBOURGUIGNON, M.; et al. The transmuted birnbaum-saunders distribuition. Revstat-Statistical Journal, v. 15, p. 601-628, 2017. Disponível em: https://www.ine.pt/revstat/pdf/REVSTAT_v15-n4-8.pdf. Acesso em: 07 dez. 2017pt_BR
dc.identifier.doihttps://doi.org/10.57805/revstat.v15i4.229
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/50956
dc.languageenpt_BR
dc.publisherRevstat Statistical Journalpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectData analysispt_BR
dc.subjectLikelihood methodspt_BR
dc.subjectMonte Carlo simulationspt_BR
dc.subjectOx and R softwarespt_BR
dc.subjectTransmutation mappt_BR
dc.titleThe transmuted birnbaum-saunders distribuitionpt_BR
dc.typearticlept_BR

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