An Estimator of Population Variance Using Auxiliary Information under General Sampling Design

The paper deal with a difference type estimator of population variance using auxiliary information is more efficient than various estimators under stringent conditions. Properties of proposed estimator have been studied after estimating the constants involved in the estimator and hence a modified regression type estimator has been suggested which has superiority over Isaki (1983) type regression estimator of population variance. At last numerical illustration have been made.