The main objective of the paper is to produce some type of improved ratio estimators. Using the auxiliary information, we have proposed a two ratio type estimator. The bias and mean square error of the proposed estimators are derived up to the approximation of first order. In addition, the comparison of the proposed estimators is checked by means of a real data set and it was found that the proposed estimators are stronger than a classical ratio estimator as well as other modified ratio estimators.

study variable, auxiliary information, bias, mean squared error, efficiency, ratio estimator.