Employment Bootstrapping Approach to Finding New Ratio Estimators in Simple Random Sampling

This research boils down to find new ratio estimators instead of estimators of (Kadilar and Cingi ;2004) by replacing the regression parameter of the final estimators, which is estimated by ordinary least squares, with new parameter estimated by bootstrapping regression under specified conditions which have more accuracy than the first estimators. The mean square error (MSE) was used to check the accuracy of new estimators, Then we fiend Relative Efficiencies for all proposed estimators. This work was supported with numerical examples and simulations .