4.2 Article

Asymptotic distributions for the intervals estimators of the extremal index and the cluster-size probabilities

Journal

JOURNAL OF STATISTICAL PLANNING AND INFERENCE
Volume 139, Issue 9, Pages 3288-3309

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jspi.2009.03.010

Keywords

Extreme value statistics; Extremal index; Cluster-size distribution; Intervals estimators; Point process of exceedances

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Under appropriate long range dependence conditions. the point process of exceedances of a stationary sequence weakly converges to a homogeneous compound Poisson point process. This limiting point process can be characterized by the extremal index and the cluster-size probabilities. In this paper we address the problem of estimating these quantities and we consider the intervals estimators introduced in Ferro and Segers [2003. Inference for clusters of extreme values. J. Roy. Statist. Soc. Set. B 545-556] and in Ferro [2004. Statistical methods for clusters of extreme values. Ph.D. Thesis, Lancaster University]. We establish asymptotic weak convergence to Gaussian random variables and we give their asymptotic variance. (C) 2009 Elsevier B.V. All rights reserved.

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