Asymptotic normality of a nonparametric estimator of sample coverage
Zhang, Cun-Hui ; Zhang, Zhiyi
Ann. Statist., Tome 37 (2009) no. 1, p. 2582-2595 / Harvested from Project Euclid
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This paper establishes a necessary and sufficient condition for the asymptotic normality of the nonparametric estimator of sample coverage proposed by Good [Biometrica 40 (1953) 237–264]. This new necessary and sufficient condition extends the validity of the asymptotic normality beyond the previously proven cases.
Publié le : 2009-10-15
Classification:  Sample coverage,  Turing’s formula,  asymptotic normality,  62f10,  62F12,  62G05,  62G20,  62F15 
@article{1247663767,
     author = {Zhang, Cun-Hui and Zhang, Zhiyi},
     title = {Asymptotic normality of a nonparametric estimator of sample coverage},
     journal = {Ann. Statist.},
     volume = {37},
     number = {1},
     year = {2009},
     pages = { 2582-2595},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1247663767}
}

Zhang, Cun-Hui; Zhang, Zhiyi. Asymptotic normality of a nonparametric estimator of sample coverage. Ann. Statist., Tome 37 (2009) no. 1, pp.  2582-2595. http://gdmltest.u-ga.fr/item/1247663767/