Approaching the parameter estimation quality of maximum likelihood via generalized moments

Details Approaching the parameter estimation quality of maximum likelihood via generalized moments Approaching the parameter estimation quality of maximum likelihood via generalized moments

2000-01-09

arxiv.org/abs/physics/0001019v1

Part.Nucl.Lett. 111 (2002) 28-35

Physics

Data Analysis, Statistics and Probability

PS 4 pages

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Approaching the parameter estimation quality of maximum likelihood via generalized moments does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Approaching the parameter estimation quality of maximum likelihood via generalized moments, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Approaching the parameter estimation quality of maximum likelihood via generalized moments will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-354490