USE OF EXTREME VALUES TO ESTIMATE FINITE POPULATION MEAN UNDER PPS SAMPLING SCHEME
Keywords:
PPS, Auxiliary Information, Bias, Mean Square ErrorAbstract
We propose ratio, product and regression type estimators for estimation of finite population mean under probability proportional to size (PPS) sampling design, when there exist some extreme values regarding the study and the auxiliary variables respectively. The biases and mean squared errors are derived up to first order of approximation. Theoretical and empirical studies show that the proposed estimators perform better as compared to usual estimators.
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References
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