Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors
Bayesian analysis of the 3-component mixture of an Exponential distribution under type-I right censoring scheme is considered in this paper. The Bayes estimators and posterior risks for the unknown parameters are derived under squared error loss function, precautionary loss function and DeGroot loss...
- Autores:
-
Tahir, Muhammad
Aslam, Muhammad
- 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/66535
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66535
http://bdigital.unal.edu.co/67563/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Mixture Model
Bayes Estimators
Exponential Distribution
Loss Function
Posterior Risks
Modelo de mezcla
Estimadores de Bayes
Distribución exponencial
Función de pérdida
Riesgos posteriores.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | Bayesian analysis of the 3-component mixture of an Exponential distribution under type-I right censoring scheme is considered in this paper. The Bayes estimators and posterior risks for the unknown parameters are derived under squared error loss function, precautionary loss function and DeGroot loss function assuming the non-informative (uniform and Jeffreys') priors. The Bayes estimators and posterior risks are viewed as a function of the test termination time. A simulation study is given to highlight and compare the properties of the Bayes estimates. |
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