On the Density of Minimum Contrast Estimators

Abstract

Efron's "bootstrap" method of distribution approximation is shown to be asymptotically valid in a large number of situations, including t-statistics, the empirical and quantile processes, and von Mises functionals. Some counter-examples are also given, to show that the approximation does not always succeed.