In this paper, we propose an exponential transformed ratio estimator using one auxiliary variable for the estimation of the current population mean under successive sampling scheme and analyze its properties. The bias and mean squared error are obtained upto the first order of approximation. We show theoretically that the proposed estimator is more efficient than the estimator proposed by Cochran [2] using no auxiliary variable and simple mean per unit estimator. Optimum replacement strategy is also discussed. Results have been justified through empirical interpretation.

auxiliary variable, bias, exponential transformed estimator, mean square error, optimum replacement, successive sampling.