A class of estimators using auxiliary information in two-stage sampling for two phases of sample selection

Abstract

In this paper, we compose a class of estimators for the mean of a finite population using information on an auxiliary variable in a two-stage sampling when samples at each stage are drawn under two phase selections. The novel feature of the class is that it makes an attempt to gather available auxiliary information both at primary and secondary levels.