EFFICIENT CLASS OF ESTIMATORS FOR ESTIMATING THE POPULATION VARIANCE USING AUXILIARY VARIABLE AND ATTRIBUTE

A family of log-type estimators using information on auxiliary information has been proposed for estimating the population variance of the study variable. It has been shown that these families of log-type estimators have lesser mean square error under the optimum values of the characterizing scalars as compared to some of the commonly used estimators available in the literature. Further, a comparative study is performed to judge the efficiency of proposed estimator. A numerical study is included as an illustration for the proposed work.