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Mean estimate in ranked set sampling using a length-biased concomitant variable
Authors:Chang Cui  Lei Zhang
Affiliation:School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
Abstract:In this paper, a ranked set sampling procedure with ranking based on a length-biased concomitant variable is proposed. The estimate for population mean based on this sample is given. It is proved that the estimate based on ranked set samples is asymptotically more efficient than the estimate based on simple random samples. Simulation studies are conducted to present the properties of the proposed estimate for finite sample size. Moreover, the consequence of ignoring length bias is also addressed by simulation studies and the real data analysis.
Keywords:concomitant variable  length-biased  mean estimate  ranked set sample
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