A Class of Modified Ratio Estimators Using Linear Combination of Quartile Deviation and Median of Auxiliary Variable under Rank Set Sampling

摘要

In this paper we suggest a new modified ratio estimator of population mean of the study variable using the linear combination of known values of Quartile deviation and Median of the auxiliary variable under Rank set sampling. Mean squared error up to the first degree of approximation are derived and compared with modified ratio estimators given by Kadilar and Chingi [1] based on simple random sampling. The proposed modified ratio estimators under rank set sampling perform better than the ratio estimators given by Kadilar. The simulated study has been carried out in support of the results.