Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling
(2019). Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling. EKB Journal Management System, 63(1), 45-65. doi: 10.21608/esju.2019.268728
. "Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling". EKB Journal Management System, 63, 1, 2019, 45-65. doi: 10.21608/esju.2019.268728
(2019). 'Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling', EKB Journal Management System, 63(1), pp. 45-65. doi: 10.21608/esju.2019.268728
Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling. EKB Journal Management System, 2019; 63(1): 45-65. doi: 10.21608/esju.2019.268728

Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling

The Egyptian Statistical Journal
Article 5, Volume 63, Issue 1, June 2019, Page 45-65  XML PDF (635.58 K)
Document Type: Original Article
DOI: 10.21608/esju.2019.268728
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Abstract
In this paper, a comparison of  Bayesian estimators using non-informative priors under different loss functions, assuming  that both the stress and the strength are independently indentically burr XII random variables. Bayes estimates of  R based on extreme ranked set sampling are developed using Jeffery prior  under symmetric and asymmetric loss functions and compared with the known estimators using simple random sampling technique the Bayes estimator cannot be obtained in explicit form, and therefore extensive numerical investigation will be carried out to compare the Bayesian estimators under simple random sampling extreme ranked set sampling techniques 
Keywords
Burr XII distribution; ranked set sampling; extreme ranked set sampling; Bayesian estimators
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