Estimation of finite population mean under PPS in presence of maximum and minimum values

Abstract

This article deals with the estimation of the finite population mean under probability proportional to size (PPS) sampling using information on the auxiliary variable along with the rank of the auxiliary variable. We propose a ratio, product and regression type estimators by incorporating the maximum and minimum values of the study variable and the auxiliary variable. The mathematical expressions of the proposed estimators are derived up to first order of approximation. Efficiency comparisons are made on the basis of real data sets.

Keywords

• pps
• mean squared error
• auxiliary variable
• maximum and minimum values