Improvement of Exponential Chain-Type Estimators of Population Mean Under Double Sampling

Abstract

Three exponential chain-type regressions, ratios, and population-average regression estimators utilising information from two auxiliary variables under double sampling are proposed in this study. Up to the first approximation order, details of behaviours are performed with bias and average square errors in mind. We compared it to other popular chain type estimating systems of the same kind and offered survey professionals some suggestions on how to improve their own methods.