Two-layer median ranked set sampling

Authors : Begum KARA GULAY, Neslihan DEMİREL

Pages : 1560-1569

Doi:10.15672/hujms.466178

View : 17 | Download : 5

Publication Date : 2019-10-08

Article Type : Research Paper

Abstract :In this article, we propose two-layer median ranked set sampling insert ignore into journalissuearticles values(TMRSS); design that combines median ranked set sampling insert ignore into journalissuearticles values(MRSS); and two-layer ranked set sampling insert ignore into journalissuearticles values(TRSS);. Ranked set sampling insert ignore into journalissuearticles values(RSS); is an alternative sampling method that can improve the efficiency of estimators when exact measurement of response variable is either difficult, time consuming or expensive. Evaluation of the TMRSS performance for different distributions, set, and cycle sizes regarding mean and regression coefficients estimators and mean square of the regression model are carried out using Monte Carlo simulation study and real data application. The results indicate that estimators of TMRSS yields are either equivalent to or better than MRSS.
Keywords : ranked set sampling, median ranked set sampling, two layer ranked set sampling, concomitant variables, mean estimator, regression estimators, relative efficiency