Improved Estimation of Population Mean Using Exponentially Weighted Moving Averages for the Time Scaled Surveys
Authors
BUSHRA BATI, SAADIA MASOOD and MUHAMMAD NOUMAN LATIF
Abstract
This paper we use exponentially weighted moving average (EWMA) statistic is an improved type statistic that used current and previous information to estimate the population parameter. In this article utilizes EWMA statistic to propose a ratio and product estimator for the surveys based on time scale. The proposed estimators consist of current as well as past sample information. The mean square error expressions of the proposed estimators are derived and mathematical conditions are recognized to prove the efficiency of proposed estimators. The results of simulation study it is discovered from that utilization of the past samples information the performance of estimator in expressions of efficiency. Real life examples are obtainable to determine the use of proposed estimators.
