In this paper we study the problem of estimation of population mean in the presence of measurement error simultaneously using information on a single auxiliary variable. We have developed a new estimator of population mean and compared it with some existing estimators under the situations when measurement errors occur simultaneously. The proposed estimators are theoretically compared with existing estimators. Empirical and simulation study is also conducted to assess the performance of proposed estimator.
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