A Bimodal Extension of the Generalized Gamma Distribution

A bimodal extension of the generalized gamma distribution is proposed by using a mixing approach. Some distributional properties of the new distribution are investigated. The maximum likelihood (ML) estimators for the parameters of the new distribution are obtained. Real data examples are given to s...

Full description

Autores:
Çankaya, Mehmet Niyazi
Bulut, Yakup Murat
Dogru, Fatma Zehra
Arslan, Olcay
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/66531
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/66531
http://bdigital.unal.edu.co/67559/
Palabra clave:
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Bimodality
Exponential Power Distribution
Generalized Gamma
Skewness
Bimodalidad
Distribución potencia exponencial, Gamma generalizada
Sesgo.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:A bimodal extension of the generalized gamma distribution is proposed by using a mixing approach. Some distributional properties of the new distribution are investigated. The maximum likelihood (ML) estimators for the parameters of the new distribution are obtained. Real data examples are given to show the strength of the new distribution for modeling data.