In this paper, we improve the efficiency of the Maximum Likelihood Estimator (MLE) of a normal mean by shrinking it close to a point guess value. We propose shrinkage testimator based on a preliminary test and compare it’s efficiency with respect to the MLE under a measure named Reflected Normal Loss (RNL) function.
