Distribution function estimation using concomitant-based ranked set sampling

Authors : Ehsan ZAMANZADE, M. MAHDİZADEH

Pages : 755-761

View : 30 | Download : 5

Publication Date : 2018-06-01

Article Type : Research Paper

Abstract :Ranked set sampling insert ignore into journalissuearticles values(RSS); is a data collection method designed to exploit auxiliary ranking information. In this paper, a new estimator of distribution function is proposed when RSS is done by using a con comitant variable. It is shown by simulation study that the alternative estimator can be considerably more efficient than the standard one, especially when the rankings are perfect.
Keywords : Relative efficiency, Concomitant variable, Judgment ranking