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Journal Articles Journal of Statistical Planning and Inference Year : 2011

Weibull tail-distributions revisited: a new look at some tail estimators

Abstract

In this paper, we propose to include Weibull tail-distributions in a more general family of distributions. In particular, the considered model also encompasses the whole Fréchet maximum domain of attraction as well as log-Weibull tail-distributions. The asymptotic normality of some tail estimators based on the log-spacings between the largest order statistics is established in an unified way within the considered family. This result permits to understand the similarity between most estimators of the Weibull tail-coefficient and the Hill estimator. Some different asymptotic properties, in terms of bias, rate of convergence, are also highlighted.
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Dates and versions

hal-00340661 , version 1 (21-11-2008)
hal-00340661 , version 2 (07-12-2009)
hal-00340661 , version 3 (20-05-2010)
hal-00340661 , version 4 (14-06-2010)

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Laurent Gardes, Stéphane Girard, Armelle Guillou. Weibull tail-distributions revisited: a new look at some tail estimators. Journal of Statistical Planning and Inference, 2011, 141 (1), pp.429-444. ⟨10.1016/j.jspi.2010.06.018⟩. ⟨hal-00340661v4⟩
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