Irfan Aslam, Muhammad Noor-ul-Amin, Uzma Yasmeen, M. Hanif
tlooto Summary
This study proposes memory type ratio and product estimators for population mean estimation using exponential weighted moving average statistic under stratified sampling with extensive simulation and real-life data evaluation.
Abstract
The exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators of the population parameters. In this study, the EWMA statistic is used to estimate the population mean with auxiliary information. The memory type ratio and product estimators are proposed under stratified sampling (StS). Mean square errors (MSE) expressions and relative efficiencies of the proposed estimators are derived. An extensive simulation study is conducted to evaluate the performance of the proposed estimators. An empirical study is presented based on real-life data that supports the findings of the simulation study.
Citation format
ASLAM, Irfan, et al. Memory type ratio and product estimators in stratified sampling. Journal of Reliability and Statistical Studies, 2020.