An efficient class of estimators based on ranked set sampling

摘要

This article proposes an efficient class of estimators for population mean in ranked set sampling framework which includes the usual mean estimator, Upadhyaya et al. (1985) type estimator, Samawi and Muttlak (1996) estimator, Yu and Lam (1997) estimator, Khoshnevisan et al. (2007) type estimators, Bouza (2008) estimator, Koyuncu and Kadilar (2009) type estimators, Kadilar et al. (2009) estimator, Al-Omari et al. (2009) estimator, Singh et al. (2014) estimator, Mehta and Mandowara (2016) estimators, Mandowara and Mehta (2016) estimators and Bhushan and Kumar (2020a; b) estimators. The bias and mean square error of the proposed estimators are reported up to first order of approximation. It has been proven, both theoretically and empirically, that the proposed estimators provide more accurate results than the existing estimators.