Generalized Difference-Cum Exponential Class of Estimators for Estimating Population Parameters of the Sensitive Variable

We propose a generalized class of estimators to estimate general population parameters susceptible research variables using additional auxiliary information in SRSWOR. The constants such as the coefficient variation, mean, standard deviation, and mean square are defined conventional estimator. expression for errors proposed is derived up first order approximation. To compare effectiveness estimators, an empirical study conducted utilizing real simulated data sets. Theoretical demonstrates that suggested outperforms other current estimators.