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...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Tahir, Muhammad Aslam, Zawar Hussain, Akbar Ali Khan
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8993
http://cmuir.cmu.ac.th/jspui/handle/6653943832/64100
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
Description
Summary: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.