Assessing confidence intervals for the tail index by Edgeworth expansions for the Hill estimator
Haeusler, Erich ; Segers, Johan
Bernoulli, Tome 13 (2007) no. 1, p. 175-194 / Harvested from Project Euclid
We establish Edgeworth expansions for the distribution function of the standardized Hill estimator for the reciprocal of the index of regular variation of the tail of a distribution function. The expansions are used to derive expansions for coverage probabilities of confidence intervals for the tail index based on the Hill estimator.
Publié le : 2007-02-14
Classification:  asymptotic normality,  confidence intervals,  Edgeworth expansions,  extreme value index,  Hill estimator,  regular variation,  tail index
@article{1175287728,
     author = {Haeusler, Erich and Segers, Johan},
     title = {Assessing confidence intervals for the tail index by Edgeworth expansions for the Hill estimator},
     journal = {Bernoulli},
     volume = {13},
     number = {1},
     year = {2007},
     pages = { 175-194},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1175287728}
}
Haeusler, Erich; Segers, Johan. Assessing confidence intervals for the tail index by Edgeworth expansions for the Hill estimator. Bernoulli, Tome 13 (2007) no. 1, pp.  175-194. http://gdmltest.u-ga.fr/item/1175287728/