Exponential Ratio Type Estimator of Population Mean in Presence of Measurement Error and Non-Response
In this paper we have proposed an exponential ratio type estimator of the finite population mean in presence of measurement error and non-response error. Expression of Mean Square Error has been calculated up to first order of approximation. Empirical study based on five data sets has been carried out. Theoretically and empirically we have found that proposed estimator is more efficient than the existing estimators in presence of measurement error and non-response error.
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