Approaching the parameter estimation quality of maximum likelihood via generalized moments

摘要

A simple criterion is presented for a practical construction of generalizedmoments that allow one to approach the theoretical Rao-Cramer limit forparameter estimation while avoiding the complexity of the maximum likelihoodmethod in the cases of complicated probability distributions and/or very largeevent samples.