Journal of New Theory, sa.44, ss.79-86, 2023 (Hakemli Dergi)
This research introduces a novel sub-estimator designed for estimating the population mean
under ranked set sampling, motivated by the new concept of a recently introduced sub-ratio estimator. The
mathematical formulas of the proposed estimator’s mean square error and bias are presented and
theoretically contrasted with an analogous estimator found in the existing best sub-estimator literature. In
addition to the theoretical analysis, empirical evidence is provided to validate the superiority of the
proposed estimator. This empirical validation is based on numerical computations using Monte Carlo
simulations, encompassing synthetic and real data applications. The results underscore the effectiveness
of the proposed estimator. Finally, this study discusses the need for further research.