dc.creator | Barranco Chamorro, Inmaculada | es |
dc.creator | Iriarte, Yuri A. | es |
dc.creator | Gómez, Yolanda M. | es |
dc.creator | Astorga, Juan M. | es |
dc.creator | Gómez, Héctor W. | es |
dc.date.accessioned | 2022-07-04T11:48:31Z | |
dc.date.available | 2022-07-04T11:48:31Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Barranco Chamorro, I., Iriarte, Y.A., Gómez, Y.M., Astorga, J.M. y Gómez, H.W. (2021). A Generalized Rayleigh Family of Distributions Based on the Modified Slash Model. Symmetry, 13, 2-18. | |
dc.identifier.issn | 2073-8994 | es |
dc.identifier.uri | https://hdl.handle.net/11441/134971 | |
dc.description.abstract | Specifying a proper statistical model to represent asymmetric lifetime data with high
kurtosis is an open problem. In this paper, the three-parameter, modified, slashed, generalized
Rayleigh family of distributions is proposed. Its structural properties are studied: stochastic represen tation, probability density function, hazard rate function, moments and estimation of parameters via
maximum likelihood methods. As merits of our proposal, we highlight as particular cases a plethora
of lifetime models, such as Rayleigh, Maxwell, half-normal and chi-square, among others, which are
able to accommodate heavy tails. A simulation study and applications to real data sets are included
to illustrate the use of our results. | es |
dc.format | application/pdf | es |
dc.format.extent | 18 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Symmetry, 13, 2-18. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Generalized Rayleigh distribution | es |
dc.subject | EM algorithm | es |
dc.subject | Kurtosis | es |
dc.subject | Maximum likelihood estimation | es |
dc.subject | Slashed generalized Rayleigh distribution | es |
dc.title | A Generalized Rayleigh Family of Distributions Based on the Modified Slash Model | 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/10.3390/sym13071226 | es |
dc.identifier.doi | 10.3390/sym13071226 | es |
dc.journaltitle | Symmetry | es |
dc.publication.volumen | 13 | es |
dc.publication.initialPage | 2 | es |
dc.publication.endPage | 18 | es |