Estimators of the extreme-value index are based on a set of upper order statistics. When the number of upper-order statistics used in the estimation of the extreme-value index is small, the variance of the estimator will be large. On the other hand, the use of a large number of upper statistics will
Double-thresholded estimator of extreme value index
โ Scribed by Laurent Gardes
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 112 KB
- Volume
- 337
- Category
- Article
- ISSN
- 1631-073X
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โฆ Synopsis
The purpose of this Note is to propose an estimator of the extreme value index constructed by using only the number of points exceeding random thresholds. We prove the weak consistency and the asymptotic normality of this estimator. We deduce from this last result that the rate of convergence of our estimator is in a power of the sample size. To our knowledge, this rate of convergence is not reached by any other estimate of the extreme value index. Through a simulation, we compare our estimator to the moment estimator (Dekkers et al.,
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