On Two Methods of Unbiased Estimation with Auxiliary Variates

Abstract

This paper shows the relationship between two existing methods of generating unbiased ratio and regression estimators. One procedure involves splitting up the population (theoretically) while the other splits up the sample itself. The two procedures yield similar estimators and are combinatorially equivalent. They are unalike in that they utilize different conditional arguments.