Generalised Ratio Estimators Using Conventional Location Parameters in Survey Sampling

Abstract

The present paper concentrates on estimating the finite population mean by proposing the new generalised ratio type estimators in simple random sampling without replacement using linear combination of coefficient of variation and population deciles of auxiliary variable. The expressions for mean square error and bias were calculated and compared with the classical and existing estimators. Theoretical results are supported by numerical illustration.

Keywords: Coefficient of variation; deciles; ratio-type estimators; mean square error; bias; efficiency.