USE OF EXTREME VALUES TO ESTIMATE FINITE POPULATION MEAN UNDER PPS SAMPLING SCHEME

  • Sohaib Ahmad Department of Statistics, Quaid-e-Azam University Islamabad, Pakistan
  • Javid Shabbir Department of Statistics, Quaid-e-Azam University Islamabad, Pakistan
Keywords: PPS, Auxiliary Information, Bias, Mean Square Error

Abstract

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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Published
2018-10-05
Section
Articles