Classes of Population Mean Estimators using Transformed Variables in Double Sampling

Authors : Natthapat Thongsak, Nuanpan Lawson

Pages : 1834-1852

Doi:10.35378/gujs.1056453

View : 155 | Download : 368

Publication Date : 2023-12-01

Article Type : Research Paper

Abstract :Transformation techniques have been used to increase the efficiency of estimators in sample surveys. In this paper, some classes of population mean estimators using transformation on an auxiliary variable and on both the auxiliary and study variables have been proposed under double sampling. The proposed estimators’ biases and mean square errors are approximated up to the first order. A simulation study and application to a rubber production dataset have been used to illustrate the proposed estimators’ performance. The results show that they perform much better than other existing estimators under given conditions.
Keywords : Double sampling, Ratio estimators, Bias, Mean square error