عنوان
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Estimation of Pr(Y < X ) for the two-parameter generalized exponential records
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نوع پژوهش
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مقاله چاپ شده
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کلیدواژهها
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Bayesian estimation; Bootstrap confidence interval; Maximum likelihood estimator; Metropolis method; Record values
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چکیده
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This article considers the maximum likelihood and Bayes estimation of the stress–strength reliability based on two-parameter generalized exponential records. Here, we extend the results of Baklizi [Computa- tional Statistics and Data Analysis 52 (2008), 3468–3473] to explain a wide variety of real datasets. We also consider the estimation of R when the same shape parameter is known. The results for exponential distribution can be obtained as a special case with different scale parameters.
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پژوهشگران
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اکبر اصغر زاده (نفر اول)، محمد رکب (نفر سوم)، رضا ولی اللهی (نفر دوم)
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