Abstract

Mean Square Error (MSE) of estimators in survey sampling is generally derived by considering terms to O (n^-). In this study we propose a general method to compute the mean square error of classical ration estimator up to any degree of accuracy. The method has been proposed for ratio estimator in single phase and two phase sampling. We have used the proposed method to compute mean square error to various degree of approximation. Numerical example has also been given for illustration.

Keywords:

Auxiliary variable, higher order, Mean Square Error (MSE),

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Competing interests

The authors have no competing interests.

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