extremal coefficient;
multivariate extremal index;
multivariate extreme value theory;
D O I:
10.1016/j.spl.2005.02.015
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We deal with the problem of how to measure the strength of the dependence in the extremes. Probabilistic and statistical methods for multivariate extreme values motivate an adjustment in the definition of the extremal coefficient. We point out that the available extremal coefficient does not measure correctly the dependence in the limiting distribution of maxima when a multivariate extremal index is present and propose an adjustment of this coefficient in order to cover this case and preserve its main properties. We will present a new definition for the extremal coefficient and relate it with the tall dependence. Finally, we illustrate this contribution with examples. (c) 2005 Elsevier B.V. All rights reserved.
机构:
Univ Pavia, Dept Polit & Social Sci, Corso Str Nuova 65, I-27100 Pavia, ItalyUniv Pavia, Dept Polit & Social Sci, Corso Str Nuova 65, I-27100 Pavia, Italy
Marcon, Giulia
Padoan, Simone A.
论文数: 0引用数: 0
h-index: 0
机构:
Bocconi Univ, Dept Decis Sci, Via Roentgen 1, I-20136 Milan, ItalyUniv Pavia, Dept Polit & Social Sci, Corso Str Nuova 65, I-27100 Pavia, Italy
Padoan, Simone A.
Antoniano-Villalobos, Isadora
论文数: 0引用数: 0
h-index: 0
机构:
Bocconi Univ, Dept Decis Sci, Via Roentgen 1, I-20136 Milan, ItalyUniv Pavia, Dept Polit & Social Sci, Corso Str Nuova 65, I-27100 Pavia, Italy