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Design Based Estimation of Finite Population Mean in Ranked Set Sampling
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Zahra Shirkavand *   , Roshanak Aliakbari Saba |
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Abstract: (1941 Views) |
Abstract. This Article introduce method of ranked set sampling with replacement (RSSWR) in finite population and express how to computing samples of inclusion probability for this method. The Horvitz-Thompson and Hansen-Hurwtz estimators using auxiliary variables introduce for this design and use 2011-12 Urban Households Income and Income and Expenditure survey data, gathered for Tehran by statistical center of Iran to show some estimators introduced for RSS design are more efficient than corresponding estimators in SRSWOR design.
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| Keywords: Finite population, Hansen-Hurwits estimator, Horvitz-Thompson estimator, inclusion probability, ratio estimator, ranked set sampling. |
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Full-Text [PDF 204 kb]
(848 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2020/04/22 | Accepted: 2021/03/3 | Published: 2020/03/10
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