Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2015
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| _version_ | 1876456019755794432 |
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| author | Tahir Muhammad |
| author_facet | Tahir Muhammad |
| contents | Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors Tahir Muhammad Aslam Muhammad Física, Astronomía y Matemáticas Mixture Model Loss Function Posterior Risks Bayes Estimators Exponential Distribution 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. 2015 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89940050008 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.38 |
| format | Artículo científico |
| id | redalyc_89940050008 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors Tahir Muhammad Física, Astronomía y Matemáticas Mixture Model Loss Function Posterior Risks Bayes Estimators Exponential Distribution Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors Tahir Muhammad Aslam Muhammad Física, Astronomía y Matemáticas Mixture Model Loss Function Posterior Risks Bayes Estimators Exponential Distribution 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. 2015 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89940050008 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.38 |
| title | Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors |
| topic | Física, Astronomía y Matemáticas Mixture Model Loss Function Posterior Risks Bayes Estimators Exponential Distribution |
| url | https://www.redalyc.org/articulo.oa?id=89940050008 |