Bayesian Estimation of Stress Strength Reliability using Upper Record Values from Generalised Inverted Exponential Distribution

被引:0
|
作者
Kumari, Ritu [1 ]
Mahajan, Kalpana K. [1 ]
Arora, Sangeeta [1 ]
机构
[1] Panjab Univ, Dept Stat, Chandigarh, India
关键词
Bayesian estimators; Record values; HPD intervals; Loss functions;
D O I
10.33889/IJMEMS.2019.4.4-070
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The paper develops Bayesian estimators and HPD intervals for the stress strength reliability of generalised inverted exponential distribution using upper record values. For prior distribution, informative prior as well as non-informative prior both are considered. The Bayes estimators are obtained under both symmetric and asymmetric loss functions. A simulation study is conducted to obtain the Bayes estimates of stress strength reliability. Simulated data sets are also considered here for illustration purpose.
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页码:882 / 894
页数:13
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