Improved Ratio Estimator under Stratified Simple Random Sampling Using Auxiliary Variable

In this study, we suggested an improved ratio estimator for stratification utilizing an auxiliary variable in simple random sampling. Theoretically, bias and the mean squared error (MSE) were obtained using Taylors' Series expansion up to the first order approximation. An empirical comparison was made between this estimator and the MSEs of many similar, currently available ratio estimators. Through this comparison, we were able to demostrate that the suggested estimate outperforms a few related, currently used estimators