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dc.creatorJodrá Esteban, Pedroes
dc.creatorJiménez Gamero, María Doloreses
dc.creatorAlba Fernández, María Virtudeses
dc.date.accessioned2023-03-13T11:36:36Z
dc.date.available2023-03-13T11:36:36Z
dc.date.issued2015-05-15
dc.identifier.citationJodrá Esteban, P., Jiménez Gamero, M.D. y Alba Fernández, M.V. (2015). On the Muth Distribution. Mathematical modelling and analysis, 20 (3), 291-310. https://doi.org/https://doi.org/10.3846/13926292.2015.1048540.
dc.identifier.issn1392-6292es
dc.identifier.issn1648-3510es
dc.identifier.urihttps://hdl.handle.net/11441/143312
dc.description.abstractThe Muth distribution is a continuous random variable introduced inthe context of reliability theory. In this paper, some mathematical properties of themodel are derived, including analytical expressions for the moment generating func-tion, moments, mode, quantile function and moments of the order statistics. In thisregard, the generalized integro-exponential function, the LambertWfunction and thegolden ratio arise in a natural way. The parameter estimation of the model is per-formed by the methods of maximum likelihood, least squares, weighted least squaresand moments, which are compared via a Monte Carlo simulation study. A naturalextension of the model is considered as well as an application to a real data set.es
dc.formatapplication/pdfes
dc.format.extent19 p.es
dc.language.isoenges
dc.publisherVilnius Gediminas Technical University Journalses
dc.relation.ispartofMathematical modelling and analysis, 20 (3), 291-310.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMuth distributiones
dc.subjectmoment generating functiones
dc.subjectorder statisticses
dc.subjectparameterestimationes
dc.subjectsimulationes
dc.titleOn the Muth Distributiones
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.publisherversion10.3846/13926292.2015.1048540es
dc.identifier.doihttps://doi.org/10.3846/13926292.2015.1048540es
dc.contributor.groupUniversidad de Sevilla. FQM153: Estadística e Investigación Operativaes
dc.journaltitleMathematical modelling and analysises
dc.publication.volumen20es
dc.publication.issue3es
dc.publication.initialPage291es
dc.publication.endPage310es

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