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A New Efficient Difference-Type Estimator for Estimating Population Mean using Dual Auxiliary Information under Non-Response
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In this paper, the problem of estimating the finite population mean by using dual auxiliary information under non-response. This paper proposed a difference-type estimator of population mean under different cases. The expressions of the bias and mean square error (MSE) of the proposed estimator have been obtained up to the first-degree approximation. The proposed estimator has been compared with usual unbiased estimator, ratio estimator, product estimator, difference-cum-ratio estimator, difference-cum-product estimator and other existing estimator and the cases obtained to show the efficiency of the proposed estimator over other considered estimators. Numerical Illustration is carried out to support the theoretical findings.
Title: A New Efficient Difference-Type Estimator for Estimating Population Mean using Dual Auxiliary Information under Non-Response
Description:
In this paper, the problem of estimating the finite population mean by using dual auxiliary information under non-response.
This paper proposed a difference-type estimator of population mean under different cases.
The expressions of the bias and mean square error (MSE) of the proposed estimator have been obtained up to the first-degree approximation.
The proposed estimator has been compared with usual unbiased estimator, ratio estimator, product estimator, difference-cum-ratio estimator, difference-cum-product estimator and other existing estimator and the cases obtained to show the efficiency of the proposed estimator over other considered estimators.
Numerical Illustration is carried out to support the theoretical findings.
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