Approaching the parameter estimation quality of maximum likelihood via generalized moments
arXiv:physics/0001019
Abstract
A simple criterion is presented for a practical construction of generalized moments that allow one to approach the theoretical Rao-Cramer limit for parameter estimation while avoiding the complexity of the maximum likelihood method in the cases of complicated probability distributions and/or very large event samples.
PS 4 pages