On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework
This study aims at modeling a heterogeneous population assuming the 3-component mixture of Exponential, Rayleigh and Burr Type-XII distributions using type-I right censored data in Bayesian perspective. The censored sampling situation is considered due to its popularity in reliability theory and sur...
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Science Faculty of Chiang Mai University
2019
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Online Access: | http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8993 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64100 |
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th-cmuir.6653943832-641002019-05-07T09:59:47Z On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework Muhammad Tahir Muhammad Aslam Zawar Hussain Akbar Ali Khan This study aims at modeling a heterogeneous population assuming the 3-component mixture of Exponential, Rayleigh and Burr Type-XII distributions using type-I right censored data in Bayesian perspective. The censored sampling situation is considered due to its popularity in reliability theory and survival analysis. The elegant closed form expressions for the Bayes estimators and posterior risks using the non-informative (uniform and Jeffreys’) priors under squared error loss function are derived for censored data as well as for complete sample. In case when no or little prior information is available, elicitation of hyperparameters is given. Some mathematical expressions for different functions of survival time are also derived. To examine, numerically, the performance of the Bayes estimators, we have simulated their statistical properties under different scenarios. 2019-05-07T09:59:47Z 2019-05-07T09:59:47Z 2018 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8993 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64100 Eng Science Faculty of Chiang Mai University |
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This study aims at modeling a heterogeneous population assuming the 3-component mixture of Exponential, Rayleigh and Burr Type-XII distributions using type-I right censored data in Bayesian perspective. The censored sampling situation is considered due to its popularity in reliability theory and survival analysis. The elegant closed form expressions for the Bayes estimators and posterior risks using the non-informative (uniform and Jeffreys’) priors under squared error loss function are derived for censored data as well as for complete sample. In case when no or little prior information is available, elicitation of hyperparameters is given. Some mathematical expressions for different functions of survival time are also derived. To examine, numerically, the performance of the Bayes estimators, we have simulated their statistical properties under different scenarios. |
format |
บทความวารสาร |
author |
Muhammad Tahir Muhammad Aslam Zawar Hussain Akbar Ali Khan |
spellingShingle |
Muhammad Tahir Muhammad Aslam Zawar Hussain Akbar Ali Khan On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
author_facet |
Muhammad Tahir Muhammad Aslam Zawar Hussain Akbar Ali Khan |
author_sort |
Muhammad Tahir |
title |
On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
title_short |
On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
title_full |
On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
title_fullStr |
On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
title_full_unstemmed |
On the 3-Component Mixture of Exponential, Rayleigh and Burr Type-XII Distributions: A Simulation Study in Bayesian Framework |
title_sort |
on the 3-component mixture of exponential, rayleigh and burr type-xii distributions: a simulation study in bayesian framework |
publisher |
Science Faculty of Chiang Mai University |
publishDate |
2019 |
url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8993 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64100 |
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1681426018549628928 |