Some Improved Separate Estimators of Population Mean in Stratified Ranked Set Sampling

Abstract

This paper presents improved population mean estimators using auxiliary variable in Stratified Ranked Set Sampling. We have derived the expressions for bias and mean square errors up to the first order of approximation and shown that the proposed estimators under optimum conditions are more efficient than other estimators taken in this paper. In an attempt to verify the efficiencies of proposed estimators, theoretical results are supported by empirical study and simulation study for which we have considered two populations. © 2024, Society of Statistics, Computer and Applications. All rights reserved.