مشخصات پژوهش

عنوان	Estimation of P r(X < Y ) for exponential power records
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Upper record values , maximum likelihood estimator, Bayesian estimation, asymptotic confidence interval, Tierney-Kadane approximation
چکیده	In this study, we tackle the problem of estimation of stress-strength reliability R = P r(X < Y ) based on upper record values for exponential power distribution. We use the maximum likelihood and Bayes methods to estimate R. The Tierney-Kadane approximation is used to compute the Bayes estimation of R since the Bayes estimator can not be obtained analytically. We also derive asymptotic confidence interval based on the asymptotic distribution of the maximum likelihood estimator of R. We consider a Monte Carlo simulation study in order to compare the performances of the maximum likelihood estimators and Bayes estimators according to mean square error criteria. Finally, a real data application is presented
پژوهشگران	موسی عبدی (نفر چهارم)، اکبر اصغر زاده (نفر سوم)، بوگرا ساراکوگلو (نفر دوم)، کنر تانیس (نفر اول)