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Moderate deviations for a nonparametric estimator of sample coverage

Statistics Theory 2013-05-10 v1 Statistics Theory

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.

Keywords

Cite

@article{arxiv.1305.2075,
  title  = {Moderate deviations for a nonparametric estimator of sample coverage},
  author = {Fuqing Gao},
  journal= {arXiv preprint arXiv:1305.2075},
  year   = {2013}
}

Comments

Published in at http://dx.doi.org/10.1214/13-AOS1091 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-22T00:13:59.562Z