Approximations to the tail empirical distribution function with application to testing extreme value conditions
By H. Drees, Laurens de Haan, Deyuan Li. 2006
79 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1958d6c4cc75e75079b917c1047e8901713625cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- John H. J. Einmahl
- Deyuan Li
- Jürg Hüsler
- Laurens de Haan
- A. C. Davison
- Johan Segers
- Sidney I. Resnick
- Chen Zhou
In Global and Planetary Change
- Jürg Hüsler
- John H. J. Einmahl
- Deyuan Li
- Laurens de Haan
- A. C. Davison
- Sidney I. Resnick
- Jan Beirlant
- Emilie Chautru
In Statistics and Probability
- John H. J. Einmahl
- Jürg Hüsler
- Deyuan Li
- Laurens de Haan
- Johan Segers
- Sidney I. Resnick
- A. C. Davison
- Emilie Chautru
Citations in the corpus
- Weighted approximations to tail copula processes with application to testing the extreme value condition (2006, background): “It is only based on the relative positions (ranks) of the data and completely independent of the marginal distributions for which tests have been developed already in [5] and [4].”
- On testing extreme value conditions (2006, methodology): “All these distributions are in the max-domain D(Gγ ) with the extreme value index γ varying from 2 to −0.2, and satisfy the second order condition required both in Dietrich et al. (2002) and Drees et al. (2006).”
- Records in Athletics Through Extreme-Value Theory (2008, unknown): “We have tested the existence, using Dietrich, de Haan, and H¨usler (2002) and Drees, de Haan, and Li (2006).”