A length-biased version of the Birnbaum-Saunders distribution with application in water quality
被引:0
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作者:
Víctor Leiva
论文数: 0引用数: 0
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机构:Universidad de Valparaíso,Departamento de Estadística
Víctor Leiva
Antonio Sanhueza
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h-index: 0
机构:Universidad de Valparaíso,Departamento de Estadística
Antonio Sanhueza
José M. Angulo
论文数: 0引用数: 0
h-index: 0
机构:Universidad de Valparaíso,Departamento de Estadística
José M. Angulo
机构:
[1] Universidad de Valparaíso,Departamento de Estadística
[2] Universidad de La Frontera,Departamento de Matemática y Estadística
[3] Universidad de Granada,Departamento de Estadística e Investigación Operativa
来源:
Stochastic Environmental Research and Risk Assessment
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2009年
/
23卷
关键词:
Diagnostics;
Likelihood methods;
Skewed distributions;
Water quality;
D O I:
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学科分类号:
摘要:
In this article, we develop a new model based on the Birnbaum-Saunders distribution that results to be both useful and practical for environmental sciences. The density, distribution and hazard functions, moments and properties of this new model are presented. A graphical analysis of the density is also provided. Furthermore, we estimate parameters, propose asymptotic inference and discuss influence diagnostics by using likelihood methods for the new distribution. An illustrative example with real data related to water quality indicates the adequacy on the new distribution.
机构:
Univ Fed Rio Grande do Sul, Dept Econ, Av Joao Pessoa 52, Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Dept Econ, Av Joao Pessoa 52, Porto Alegre, RS, Brazil
Saulo, Helton
Leao, Jeremias
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机构:
Univ Fed Piaui, Dept Estat, Teresina, BrazilUniv Fed Rio Grande do Sul, Dept Econ, Av Joao Pessoa 52, Porto Alegre, RS, Brazil
Leao, Jeremias
Bourguignon, Marcelo
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Pernambuco, Dept Estat, Recife, PE, BrazilUniv Fed Rio Grande do Sul, Dept Econ, Av Joao Pessoa 52, Porto Alegre, RS, Brazil