Separate Regression-type Estimators (Generalized Class) for the Estimation of Finite Population Mean under Stratified Random Sampling

In this paper we proposed generalized class of separate regression-type estimators under stratified random sampling to estimate the finite population mean. Bias and Mean square error of the proposed estimator are obtained. Further study has been done to obtain an optimum class of estimators also with minimum mean square error. A class of estimators depending upon the estimated optimum value based on sample observations is also obtained to enhance the practical utility of the optimum estimator. Further comparative study has been done with some earlier estimators.