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Estimation of the extreme value index and extreme quantiles under random censoring
Authors:Jan Beirlant  Armelle Guillou  Goedele Dierckx  Amélie Fils-Villetard
Affiliation:1.Department of Mathematics and University Center of Statistics,Katholieke Universiteit Leuven,Leuven,Belgium;2.IRMA,Université de Strasbourg,Strasbourg Cedex,France;3.L.S.T.A.,Université Paris VI,Paris Cedex 05,France
Abstract:In this paper, we consider the estimation of the extreme value index and extreme quantiles in the presence of random right censoring. The generalization of the peaks over threshold method is discussed and an adaptation of the moment estimator is proposed. The corresponding extreme quantile estimators are also introduced. We make a start with the analysis of the asymptotic properties of the moment estimator and the corresponding extreme quantile estimator. The finite sample behaviour is illustrated with a small simulation study and through practical examples from survival data analysis.
Keywords:Censoring  Extreme quantile  Extreme value index  Kaplan–  Meier estimator
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