A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable

摘要

In this paper, a class of log-type estimator using two auxiliary information is proposed. Double sampling technique has been considered as it is assumed that the auxiliary information about the auxiliary variable is unknown. Bias and mean squared error has been found up to the first order of approximation. The proposed classes are compared to some commonly used estimators both theoretically as well as empirically and they perform better than commonly known estimators available in the literature.