A ratio-cum-regression estimator of population mean in unequal probability sampling design

Abstract A new ratio-cum-regression type estimator of population mean is proposed in unequal probability sampling design. Its mean square error, up to first-order approximation is derived. A simulation study is carried out to compare the performance of the proposed estimator with some existing estimators.

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