A REGRESSION TYPE ESTIMATOR FOR MEAN ESTIMATION UNDER RANKED SET SAMPLING ALONGSIDE THE SENSITIVITY ISSUE

Abstract

Koyuncu and Kadilar [7] introduced a family of estimators undersimple random sampling. In this article; we adapt these estimators for rankedset sampling. Further, we suggest a regression-type estimator of populationmean utilizing available supplementary information under ranked set samplingscheme alongside the sensitivity issue when the variate of interest is sensitive.The bias and mean square error of the suggested estimator is determined theoretically for both situations. A simulation study has been done to demonstratethe percentage relative e¢ ciency of proposed estimators over the adapted andreviewed estimators.