عنوان
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ON ESTIMATION AND PREDICTION FOR THE XLINDLEY DISTRIBUTION BASED ON RECORD DATA
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نوع پژوهش
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مقاله چاپ شده
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کلیدواژهها
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XLindley distribution, lower record values, inter-record times, Bayesian estimation and prediction.
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چکیده
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This paper investigates the estimation of the unknown parameter in the XLindley distribution using record values and inter-record times, both in classical and Bayesian frameworks. It also delves into Bayesian prediction of a future record value. We also study the problem of estimation and prediction for the XLindley distribution based on lower records alone. A simulation study, as well as an analysis of a real data example, are conducted for comparison and illustration. The numerical findings underline that including the inter-record times in the study may enhance the performance of the estimators and predictors.
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پژوهشگران
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سیدمحمدتقی کامل میرمصطفائی (نفر دوم)، فاطمه زنجیران (نفر اول)
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