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dc.creatorSouza, Luciano
dc.creatorde O. Júnior, Wilson Rosa
dc.creatorde Brito, Cícero Carlos R.
dc.creatorChesneau, Christophe
dc.creatorFernandes, Renan L.
dc.creatorFerreira, Tiago A. E.
dc.date2021-04-13
dc.date.accessioned2021-08-17T20:35:26Z
dc.date.available2021-08-17T20:35:26Z
dc.identifierhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/2594
dc.identifier10.4067/S0719-06462021000100001
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/174242
dc.descriptionIn this paper, we introduce a new general class of trigonometric distributions based on the tangent function, called the Tan-G class. A mathematical procedure of the Tan-G class is carried out, including expansions for the probability density function, moments, central moments and Rényi entropy. The estimates are acquired in a non-closed form by the maximum likelihood estimation method. Then, an emphasis is put on a particular member of this class defined with the Burr XII distribution as baseline, called the Tan-BXII distribution. The inferential properties of the Tan-BXII model are investigated. Finally, the Tan-BXII model is applied to a practical data set, illustrating the interest of the Tan-G class for the practitioner.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de La Frontera. Temuco, Chile.en-US
dc.relationhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/2594/2060
dc.rightsCopyright (c) 2021 L. Souza et al.en-US
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0/en-US
dc.sourceCUBO, A Mathematical Journal; Vol. 23 No. 1 (2021); 01–20en-US
dc.sourceCUBO, A Mathematical Journal; Vol. 23 Núm. 1 (2021); 01–20es-ES
dc.source0719-0646
dc.source0716-7776
dc.subjectTrigonometric class of distributionsen-US
dc.subjectTangent functionen-US
dc.subjectBurr XII distributionen-US
dc.subjectMaximum likelihood estimationen-US
dc.subjectEntropyen-US
dc.titleTan-G class of trigonometric distributions and its applicationsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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