Flexible Birnbaum–Saunders Distribution

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...

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Main Authors: Guillermo Martínez-Flórez, Inmaculada Barranco-Chamorro, Heleno Bolfarine, Héctor W. Gómez
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/10/1305
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author Guillermo Martínez-Flórez
Inmaculada Barranco-Chamorro
Heleno Bolfarine
Héctor W. Gómez
author_facet Guillermo Martínez-Flórez
Inmaculada Barranco-Chamorro
Heleno Bolfarine
Héctor W. Gómez
author_sort Guillermo Martínez-Flórez
collection DOAJ
description 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.
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spelling doaj.art-2416093a6fb14dee9f4a11c077739ad82022-12-22T04:21:19ZengMDPI AGSymmetry2073-89942019-10-011110130510.3390/sym11101305sym11101305Flexible Birnbaum–Saunders DistributionGuillermo Martínez-Flórez0Inmaculada Barranco-Chamorro1Heleno Bolfarine2Héctor W. Gómez3Departamento de Matemáticas y Estadística, Facultad de Ciencias Básicas, Universidad de Córdoba, Córdoba 230027, ColombiaDepartamento de Estadística e Investigación Operativa, Universidad de Sevilla, 41000 Sevilla, SpainDepartamento de Estatítica, IME, Universidade de São Paulo, São Paulo 01000, BrazilDepartamento de Matemáticas, Facultad de Ciencias Básicas, Universidad de Antofagasta, Antofagasta 1240000, ChileIn 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.https://www.mdpi.com/2073-8994/11/10/1305flexible skew-normal distributionskew birnbaum–saunders distributionbimodalitymaximum likelihood estimationfisher information matrix
spellingShingle Guillermo Martínez-Flórez
Inmaculada Barranco-Chamorro
Heleno Bolfarine
Héctor W. Gómez
Flexible Birnbaum–Saunders Distribution
Symmetry
flexible skew-normal distribution
skew birnbaum–saunders distribution
bimodality
maximum likelihood estimation
fisher information matrix
title Flexible Birnbaum–Saunders Distribution
title_full Flexible Birnbaum–Saunders Distribution
title_fullStr Flexible Birnbaum–Saunders Distribution
title_full_unstemmed Flexible Birnbaum–Saunders Distribution
title_short Flexible Birnbaum–Saunders Distribution
title_sort flexible birnbaum saunders distribution
topic flexible skew-normal distribution
skew birnbaum–saunders distribution
bimodality
maximum likelihood estimation
fisher information matrix
url https://www.mdpi.com/2073-8994/11/10/1305
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