Abstract
ABSTRACTIn this article we propose improved ratio-type estimators for estimating the finite population mean under stratified double-ranked set sampling (StDRSS) using the auxiliary information. The biases and mean squared errors (MSE) of the proposed ratio-type estimators are derived up to first order of approximation. The proposed estimators are compared with some competitor estimators both theoretically and numerically. It is identified through numerical and simulation studies that the proposed ratio-type estimators based on StDRSS are more efficient than the corresponding estimators in stratified ranked set sampling (StRSS) given by Mandowara and Mehta.
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