عنوان
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Prediction of Lower Records Based on Hybrid Censored Samples for the Topp-Leone Distribution
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نوع پژوهش
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مقاله ارائه شده
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کلیدواژهها
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hybrid censoring, maximum likelihood prediction, records.
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چکیده
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In this paper, we discuss maximum likelihood prediction of record values from the Topp-Leone distribution based on observed hybrid censored data. We also derive Bayes predictors for the future records under the squared error loss (SEL) function. A simulation study is presented for comparing the classical and Bayes methods in the end.
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پژوهشگران
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نیلوفر صفرپور (نفر سوم)، میلاد امین زاده (نفر اول)، سیدمحمدتقی کامل میرمصطفائی (نفر دوم)
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