Review of some ratio estimators in stratified random sampling

Abstract

In this paper, some regression and mean ratio estimators, which suggested by using ancillary variable information in stratified random sampling in literature, and variances belonging to these estimators are investigated. Priority of estimators is explored by making paired comparisons of these estimators. As a result of the comparison, It is determined that combined regression estimator is more efficient than estimators developed by Kadılar-Çıngı. All these results are supported with application of an original real data.