An Improvement of Robust Estimator Using Known Values of Probability Weighted Moment for Finite Population Variance

摘要

In this study new improved robust estimator has been proposed for precise estimation of finite population variance in simple random sampling by incorporating as auxiliary information of probability weighted moment. Properties associated with proposed estimators are assessed by mean square error and bias through numerical demonstration. We have also provided theoretical efficiency comparison of the study.