Theoretical comparisons of estimators of finite population proportion under simple random sampling

Abstract

We consider the classical survey problem of estimation of finite population proportions based on a polychotomous response variable when data on an auxiliary variable is known for all units in the finite population. Under simple random sampling different model and design-based estimators are compared theoretically and it is shown that model-based estimator performs more efficiently under mild conditions.