Birnbaum-Saunders quantile regression models with application to spatial data

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dc.catalogadorvzp
dc.contributor.authorSánchez, Luis
dc.contributor.authorLeiva, Víctor
dc.contributor.authorGalea Rojas, Manuel Jesús
dc.contributor.authorSaulo, Helton
dc.date.accessioned2024-04-15T18:59:07Z
dc.date.available2024-04-15T18:59:07Z
dc.date.issued2020
dc.description.abstractIn the present paper, a novel spatial quantile regression model based on the Birnbaum-Saunders distribution is formulated. This distribution has been widely studied and applied in many fields. To formulate such a spatial model, a parameterization of the multivariate Birnbaum-Saunders distribution, where one of its parameters is associated with the quantile of the respective marginal distribution, is established. The model parameters are estimated by the maximum likelihood method. Finally, a data set is applied for illustrating the formulated model.
dc.format.extent17 páginas
dc.fuente.origenConveris
dc.identifier.converisid1
dc.identifier.doi10.3390/MATH8061000
dc.identifier.issn2227-7390
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85087790913
dc.identifier.urihttps://doi.org/10.3390/MATH8061000
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85127
dc.identifier.wosidWOS:000552495600001
dc.information.autorucFacultad de Matemáticas; Galea Rojas, Manuel Jesús; 0000-0001-9819-5843; 1008589
dc.issue.numero6
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final17
dc.pagina.inicio1
dc.revistaMathematics
dc.rightsacceso abierto
dc.rights.licenseCreative Commons Atribución-NoComercial-CompartirIgual 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectData analytics
dc.subjectGeostatistical models
dc.subjectMaximum likelihood method
dc.subjectMultivariate distributions
dc.subjectR software
dc.subjectStatistical parameterizations
dc.subject.ddc510
dc.subject.deweyMatemática física y química
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleBirnbaum-Saunders quantile regression models with application to spatial data
dc.typeartículo
dc.volumen8
sipa.codpersvinculados1008589
sipa.trazabilidadConveris;20-07-2021
sipa.trazabilidadORCID;2024-04-15
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