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Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics
The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. The exact expression of the expected Fisher information matrix of the parameters in the distribution...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216690/ https://www.ncbi.nlm.nih.gov/pubmed/25541624 http://dx.doi.org/10.1155/2014/512039 |
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author | Kim, Chansoo Kim, Woosuk |
author_facet | Kim, Chansoo Kim, Woosuk |
author_sort | Kim, Chansoo |
collection | PubMed |
description | The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. The exact expression of the expected Fisher information matrix of the parameters in the distribution is obtained. Also, an approximation based on Lindley is used to obtain the Bayes estimator. To compare the maximum likelihood estimator and the Bayes estimator of the parameters, Monte Carlo simulation study is performed. |
format | Online Article Text |
id | pubmed-4216690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-42166902014-12-25 Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics Kim, Chansoo Kim, Woosuk ScientificWorldJournal Research Article The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. The exact expression of the expected Fisher information matrix of the parameters in the distribution is obtained. Also, an approximation based on Lindley is used to obtain the Bayes estimator. To compare the maximum likelihood estimator and the Bayes estimator of the parameters, Monte Carlo simulation study is performed. Hindawi Publishing Corporation 2014 2014-10-19 /pmc/articles/PMC4216690/ /pubmed/25541624 http://dx.doi.org/10.1155/2014/512039 Text en Copyright © 2014 C. Kim and W. Kim. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kim, Chansoo Kim, Woosuk Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title | Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title_full | Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title_fullStr | Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title_full_unstemmed | Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title_short | Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics |
title_sort | estimation of the parameters of burr type iii distribution based on dual generalized order statistics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216690/ https://www.ncbi.nlm.nih.gov/pubmed/25541624 http://dx.doi.org/10.1155/2014/512039 |
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