Efficient classes of ratio-type estimators of population mean under stratified median ranked set sampling

In this paper, we propose two efficient classes of ratio-type estimators for estimating the finite population mean (Y) under stratified median ranked set sampling (S_tMRSS) using the known auxiliary information. The biases and mean squared errors (MSEs) of the proposed classes of ratio-type estimators are derived upto first order of approximation. The proposed estimators are compared with some competitor estimators. It is demonstrated through simulation study that the proposed ratio-type estimators based on StMRSS are more efficient than the corresponding estimators in stratified ranked set sampling (S_tMRSS) given by Mandowara and Mehta [13].