A Generalized Class of Jack-Knifed Estimator for Population Mean using an Auxiliary Variable and Attribute under Measurement Errors

In this paper, we have considered a generalized class of estimators using auxiliary information in both the form variable and attribute under measurement error. We also suggest a class of unbiased estimators using the Jackknife technique under measurement error. The bias and mean square error (MSE) for the proposed classes are obtained under measurement error. Finally, some concluding remarks are made clearly demonstrating the importance of the proposed classes.