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Extreme Value Index Estimators and Smoothing Alternatives: A Critical Review

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Author Info
Tsourti, Zoi
Panaretos, John

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Abstract

Extreme-value theory and corresponding analysis is an issue extensively applied in many different fields. The central point of this theory is the estimation of a parameter γ, known as the extreme-value index. In this paper we review several extreme-value index estimators, ranging from the oldest ones to the most recent developments. Moreover, some smoothing and robustifying procedures of these estimators are presented.

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File URL: http://mpra.ub.uni-muenchen.de/6390/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6390.

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Date of creation: 2003
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Handle: RePEc:pra:mprapa:6390

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Related research
Keywords: Extreme value index Semi-parametric estimation Smoothing modification

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

References listed on IDEAS
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  1. Armelle Guillou & Peter Hall, 2001. "A diagnostic for selecting the threshold in extreme value analysis," Journal Of The Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 293-305. [Downloadable!] (restricted)
  2. Olivier V. Pictet & Michel M. Dacorogna & Ulrich A. Muller, 1996. "Hill, Bootstrap and Jackknife Estimators for Heavy Tails," Working Papers 1996-12-10, Olsen and Associates. [Downloadable!]
  3. M. I. Barão & J. A. Tawn, 1999. "Extremal analysis of short series with outliers: sea-levels and athletics records," Journal Of The Royal Statistical Society Series C, Royal Statistical Society, vol. 48(4), pages 469-487. [Downloadable!] (restricted)
  4. Jon Danielsson & Casper G. de Vries, 1998. "Beyond the Sample: Extreme Quantile and Probability Estimation," FMG Discussion Papers dp298, Financial Markets Group. [Downloadable!] (restricted)
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This page was last updated on 2008-11-17.


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