dc.creator | Jodrá Esteban, Pedro | es |
dc.creator | Wladimir Gómez, Héctor | es |
dc.creator | Jiménez Gamero, María Dolores | es |
dc.creator | Alba Fernández, María Virtudes | es |
dc.date.accessioned | 2023-03-13T11:49:32Z | |
dc.date.available | 2023-03-13T11:49:32Z | |
dc.date.issued | 2017-03-01 | |
dc.identifier.citation | Jodrá 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.issn | 1392-6292 | es |
dc.identifier.issn | 1648-3510 | es |
dc.identifier.uri | https://hdl.handle.net/11441/143313 | |
dc.description.abstract | Muth 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.format | application/pdf | es |
dc.format.extent | 15 p. | es |
dc.language.iso | eng | es |
dc.publisher | Vilnius Gediminas Technical University | es |
dc.relation.ispartof | Mathematical modelling and analysis, 22 (2), 186-201. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Muth distribution | es |
dc.subject | survival analysis | es |
dc.subject | estimation | es |
dc.subject | simulation | es |
dc.subject | data analysis | es |
dc.title | The Power Muth Distribution | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.publisherversion | https://doi.org/10.3846/13926292.2017.1289481 | es |
dc.identifier.doi | 10.3846/13926292.2017.1289481 | es |
dc.contributor.group | Universidad de Sevilla. FQM153: Estadística e Investigación Operativa | es |
dc.journaltitle | Mathematical modelling and analysis | es |
dc.publication.volumen | 22 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 186 | es |
dc.publication.endPage | 201 | es |