RT - Journal Article T1 - Design Based Estimation of Finite Population Mean in Ranked Set Sampling JF - srtc-ijoss YR - 2020 JO - srtc-ijoss VO - 30 IS - 2 UR - http://ijoss.srtc.ac.ir/article-1-347-en.html SP - 415 EP - 428 K1 - Finite population K1 - Hansen-Hurwits estimator K1 - Horvitz-Thompson estimator K1 - inclusion probability K1 - ratio estimator K1 - ranked set sampling. AB - 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. LA eng UL http://ijoss.srtc.ac.ir/article-1-347-en.html M3 ER -