Moderate deviations for a nonparametric estimator of sample coverage
classification
🧮 math.ST
stat.TH
keywords
coveragemoderateestimatordeviationdeviationsgoodprincipleapplied
read the original abstract
In this paper, we consider moderate deviations for Good's coverage estimator. The moderate deviation principle and the self-normalized moderate deviation principle for Good's coverage estimator are established. The results are also applied to the hypothesis testing problem and the confidence interval for the coverage.
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.