Estimators using EWMA Statistic for Estimation of Population Mean

Abstract

In this study, we have put forward a class of estimators for estimating population mean for the cross-sectional and time scaled surveys. It is revealed in the study conducted by [5] that the use of Exponentially weighted moving average (EWMA) statistic improves the performance of the estimators for the time scaled surveys as it makes the use of past as well as the present information. [5] proposed ratio estimators using EWMA statistic, so we have made improvements by introducing a class of modified difference-ratio and product estimators with the use of tri-mean, mid-range, Gini’s mean difference, Downtown’s method and probability weighted moments of auxiliary variable. Our estimators showed better results. Results are verified with the simulation.