3 research outputs found
Statistics of extremes under random censoring
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.Comment: Published in at http://dx.doi.org/10.3150/07-BEJ104 the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm