Empirical distribution function based dual use of auxiliary information for the improved estimation of finite population mean

Abstract

This research primarily aims at the development of a new estimation scheme exploiting the argument of dual use of auxiliary information. The objectives are obtained by materializing the new family of estimators, where the dual use of Supplementary Information is substantiated with the launch of the empirical distribution function of the auxiliary variable. The comparative performance evaluation of the newly devised formation is enumerated with respect to the most efficient method, to the best of our knowledge till to date, of Haq et al. along with other promising families of Hussain and Haq and Grover and Kaur. The elaborative account of contemporary advents of the newly proposed family are documented throughout the article.