Title: Mean estimate in ranked set sampling using a length-biased concomitant variable
Authors: Tao Li - Shanghai University of Finance and Economics (China) [presenting]
Abstract: A ranked set sampling procedure based on the order of 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. The simulation studies are conducted to present the properties of proposed estimate for finite sample size. Moreover, the consequence of ignoring length bias is also address by simulation studies. A real data analysis is discussed at last.