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dc.creatorJodrá Esteban, Pedroes
dc.creatorWladimir Gómez, Héctores
dc.creatorJiménez Gamero, María Doloreses
dc.creatorAlba Fernández, María Virtudeses
dc.date.accessioned2023-03-13T11:49:32Z
dc.date.available2023-03-13T11:49:32Z
dc.date.issued2017-03-01
dc.identifier.citationJodrá Esteban, P., Wladimir Gómez, H., Jiménez Gamero, M.D. y Alba Fernández, M.V. (2017). The Power Muth Distribution. Mathematical modelling and analysis, 22 (2), 186-201. https://doi.org/10.3846/13926292.2017.1289481.
dc.identifier.issn1392-6292es
dc.identifier.issn1648-3510es
dc.identifier.urihttps://hdl.handle.net/11441/143313
dc.description.abstractMuth introduced a probability distribution with application in relia-bility theory. We propose a new model from the Muth law. This paper studies itsstatistical properties, such as the computation of the moments, computer generationof pseudo-random data and the behavior of the failure rate function, among others.The estimation of parameters is carried out by the method of maximum likelihoodand a Monte Carlo simulation study assesses the performance of this method. Thepractical usefulness of the new model is illustrated by means of two real data sets,showing that it may provide a better fit than other probability distributions.es
dc.formatapplication/pdfes
dc.format.extent15 p.es
dc.language.isoenges
dc.publisherVilnius Gediminas Technical Universityes
dc.relation.ispartofMathematical modelling and analysis, 22 (2), 186-201.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMuth distributiones
dc.subjectsurvival analysises
dc.subjectestimationes
dc.subjectsimulationes
dc.subjectdata analysises
dc.titleThe Power 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.publisherversionhttps://doi.org/10.3846/13926292.2017.1289481es
dc.identifier.doi10.3846/13926292.2017.1289481es
dc.contributor.groupUniversidad de Sevilla. FQM153: Estadística e Investigación Operativaes
dc.journaltitleMathematical modelling and analysises
dc.publication.volumen22es
dc.publication.issue2es
dc.publication.initialPage186es
dc.publication.endPage201es

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