عنوان
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Best linear unbiased interpolation of order statistics
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نوع پژوهش
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مقاله چاپشده در مجلات علمی
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کلیدواژهها
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Bayesian reconstruction, Best linear unbiased interpolation or prediction, Hilbert space, Imputation, Order statistics, Projection theorem
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چکیده
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We derive the best linear unbiased interpolation for the missing order statistics of a random sample using the well-known projection theorem. The proposed interpolation method only needs the first two moments on both sides of a missing order statistic. A simulation study is performed to compare the proposed method with a few interpolation methods for exponential and Lévy distributions.
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پژوهشگران
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اسحاق الماسی (نفر اول)، عادل محمدپور (نفر دوم)، محمد محمدی (نفر سوم)
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