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...
- 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
| 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. |
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