Pretest estimator of the mean of a geometric distribution

Abstract

This paper proposes a pretest estimator of the mean of a geometric distribution when a prior point estimate of the mean is available by considering a randomized test of a suitable preliminary hypothesis. Exact results are obtained for the bias and the mean square error of the proposed estimator and these computations are illustrated by a numerical example.