Statistical inference of stress-strength reliability for the exponential power (EP) distribution based on progressive type-II censored samples

Authors : Neriman AKDAM, İsmail KINACI, Bugra SARACOGLU

Pages : 239-253

View : 55 | Download : 13

Publication Date : 2017-04-01

Article Type : Research Paper

Abstract :Suppose that X represents the stress which is applied to a component and Y is strength of this component. Let X and Y have Exponential Power insert ignore into journalissuearticles values(EP); distribution with $insert ignore into journalissuearticles values(\alpha_1,\beta_1);$ and $insert ignore into journalissuearticles values(\alpha_2,\beta_2);$ parameters, respectively. In this case, stress-strength reliability insert ignore into journalissuearticles values(SSR); is shown by $P=Pinsert ignore into journalissuearticles values(X Keywords : Maximum likelihood estimation, Bayes estimation, Exponential Power distribution, Lindleys approximation, Monte Carlo simulation, Bootstrap estimation

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