Classes of Dual to Modified Ratio Estimators for Estimating Population Mean in Simple Random Sampling

Classes of Population Mean Estimators using Transformed Variables in Double Sampling

“…Recently, Thongsak and Lawson [41] proposed two classes of estimators using auxiliary variable transformation and the suggested estimators were found to be more efficient than the non-transformed estimators under theoretical study, simulation study, and application to a rubber production dataset. Thongsak and Lawson [41]'s estimators are given as:…”

“…Motivated by Thongsak and Lawson [41], we proposed four classes of estimators of population mean in double sampling by using the transformation technique of an auxiliary variable on both auxiliary and study variables through double sampling. The formulas of biases and MSEs of the proposed estimators are discovered.…”

“…We propose to modify the estimators proposed by Thongsak and Lawson [41], which used the transformed auxiliary variable under simple random sampling, by using the transformation technique on an auxiliary variable and on both auxiliary and study variables to accelerate the efficacy of the estimators under double sampling, which is a useful technique when some auxiliary information is not known. The proposed population mean estimators are:…”

“…Biases and MSEs of the proposed and existing estimators whenTo compare the efficiencies of the proposed estimators with the existing estimators under double sampling, we applied all estimators to rubber production data in Thailand following Thongsak and Lawson[41]. The data was collected from 746 Thai districts[49].…”