Simulation approach improves population mean estimations with auxiliary variables in non-response scenarios, suggesting increased accuracy.
In this article, we have proposed a difference-cum-exponential type estimator for estimating population mean by using information on two auxiliary variables under non-response, in which the expressions of bias and mean square error of the proposed estimator have been derived up to the first order of approximation. The suggested estimator has been compared with other existing and adaptive estimators theoretically and empirically. Also, a simulation study has been performed; for this, we have generated two artificial data sets to demonstrate the efficiency of the proposed estimator than the other estimators. AMS Subject Classification: MSC2020, 62D05
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Gupta et al. (2025) studied this question.
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