Mathematics – Statistics Theory
Scientific paper
2008-03-14
Bernoulli 2008, Vol. 14, No. 1, 207-227
Mathematics
Statistics Theory
Published in at http://dx.doi.org/10.3150/07-BEJ104 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statisti
Scientific paper
10.3150/07-BEJ104
We investigate the estimation of the extreme value index when the data are subject to random censorship. We prove, in a unified way, detailed asymptotic normality results for various estimators of the extreme value index and use these estimators as the main building block for estimators of extreme quantiles. We illustrate the quality of these methods by a small simulation study and apply the estimators to medical data.
Einmahl John H. J.
Fils-Villetard Amélie
Guillou Armelle
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