Rate of convergence in the maximum likelihood estimation for partial discrete parameter, with applications to the cluster analysis and philology
classification
🧮 math.ST
stat.TH
keywords
convergencediscretedistributionestimationparametersrateanalysisapplications
read the original abstract
The problem of estimation of the distribution parameters on the sample when the part of these parameters are discrete (e.g. integer) is considered. We prove that the rate of convergence of MLE estimates under the natural conditions on the distribution density is exponentially fast.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.