Estimating the loss of estimators of a binomial parameter

Abstract

A loss function is introduced, which combines the estimation error of a statistical procedure with a measure of its accuracy. The properties of this loss function are illustrated by the estimator of a binomial parameter. The choice of a conjugate prior distribution is discussed from this point of view. It is shown that there exists a unique beta prior with a conservatively biased accuracy estimate.