Abstract:
In this paper, we have proposed two log- product -type estimators and a new estimator for estimation of finite
population mean under measurement error by using auxiliary information. The expressions for Bias and mean squared
error of proposed estimators are evaluated up to first order of approximation. Based on theoretical results obtained, a
numerical study by generating Normal population using R programming language is also included to compare the
efficiency of proposed estimators with other relevant estimators.