Improvement Over General And Wider Class of Estimators Using Ranked Set Sampling

Abstract- In this paper Improvement over general and wider class of estimators of finite population means using ranked set sampling is investigated. Ranked set sampling RSS was first suggested to increase the efficiency of estimator of the population mean. The first order approximation to the bias and mean square error MSE of the investigated estimators are obtained. Theoretically it is shown that these suggested estimators are more efficient than the general and wider class of estimators in simple random sampling.