Flexible Birnbaum–Saunders Distribution

Martínez Flórez, Guillermo; Barranco Chamorro, Inmaculada; Bolfarine, Heleno; Gómez, Héctor W.

doi:10.3390/sym11101305

Artículo

dc.creator	Martínez Flórez, Guillermo	es
dc.creator	Barranco Chamorro, Inmaculada	es
dc.creator	Bolfarine, Heleno	es
dc.creator	Gómez, Héctor W.	es
dc.date.accessioned	2022-10-17T09:19:11Z
dc.date.available	2022-10-17T09:19:11Z
dc.date.issued	2019-10
dc.identifier.citation	Martínez Flórez, G., Barranco Chamorro, I., Bolfarine, H. y Gómez, H.W. (2019). Flexible Birnbaum–Saunders Distribution. Symmetry, 11, 1035-1-1035-18. https://doi.org/10.3390/sym11101305.
dc.identifier.issn	2073-8994	es
dc.identifier.uri	https://hdl.handle.net/11441/137942
dc.description.abstract	In this paper, we propose a bimodal extension of the Birnbaum–Saunders model by including an extra parameter. This new model is termed flexible Birnbaum–Saunders (FBS) and includes the ordinary Birnbaum–Saunders (BS) and the skew Birnbaum–Saunders (SBS) model as special cases. Its properties are studied. Parameter estimation is considered via an iterative maximum likelihood approach. Two real applications, of interest in environmental sciences, are included, which reveal that our proposal can perform better than other competing models.	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, 11, 1035-1-1035-18.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Flexible skew-normal distribution	es
dc.subject	Skew Birnbaum–Saunders distribution	es
dc.subject	Bimodality	es
dc.subject	Maximum likelihood estimation	es
dc.subject	Fisher information matrix	es
dc.title	Flexible Birnbaum–Saunders Distribution	es
dc.type	info:eu-repo/semantics/article	es
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/sym11101305	es
dc.identifier.doi	10.3390/sym11101305	es
dc.journaltitle	Symmetry	es
dc.publication.volumen	11	es
dc.publication.initialPage	1035-1	es
dc.publication.endPage	1035-18	es

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