Abstract
In this paper, the partial product technique of estimation of population mean is suggested when data on a
negatively correlated auxiliary variate is either partially available or relevant. Biases and mean square errors of
proposed estimators have been determined up to the first-order approximation. Under certain situations, it was
proved that the proposed estimators are more efficient than the comparable current estimators in the literature.
Simulation research was carried out to confirm theoretical conclusions.
References
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