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Improved Estimators for Population Mean using Attributes and Auxiliary Characters under Incomplete Information

R. R. Sinha, Vinod Kumar


In this paper, we have considered the problem of estimating the population mean under study by using the auxiliary characters under incomplete information. Some ratio, product and generalized estimators have been proposed and the problem has been extended to the classes of estimators under different cases. The expressions of bias and mean square error of the proposed estimators are obtained. Further, the conditions for attaining the minimum mean square error of the proposed classes of estimators are given along with their minimum mean square error. It has also been shown through theoretical and empirical
comparisons that the proposed classes of estimators are more efficient than the usual conventional estimators.


bias, mean square error, auxiliary character, attribute, non-response.

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