Bayes estimation of the mean of normal distribution using moving extreme ranked set sampling
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نویسنده
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al-hadhrami s.a. ,al-omari a.i.
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منبع
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pakistan journal of statistics and operation research - 2012 - دوره : 8 - شماره : 1 - صفحه:21 -30
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چکیده
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Moving extreme ranked set sampling(merss)(al-saleh and al-hadrami 2003 a,b) is one of useful modifications of the usualranked setsampling(rss).this method uses only extremes ranks with varied set size to reduce error in ranking. in this paper,bayes estimation of the mean of normal distribution based on mersswas considered and compared with simple random sampling (srs). counterpart. the suggested estimatorsare found to be more efficient than that from srs.
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کلیدواژه
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Bayes estimator; Efficiency; Moving extreme ranked set sampling
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آدرس
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college of applied science, Oman, department of mathematics,al al-bayt university, Jordan
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