Estimating the spectral measure of an extreme value distribution
Let (X1, Y1), (X2, Y2),..., (Xn, Yn) be a random sample from a bivariate distribution function F which is in the domain of attraction of a bivariate extreme value distribution function G. This G is characterized by the extreme value indices and its spectral measure or angular measure. The extreme value indices determine both the marginals and the spectral measure determines the dependence structure. In this paper, we construct an empirical measure, based on the sample, which is a consistent estimator of the spectral measure. We also show for positive extreme value indices the asymptotic normality of the estimator under a suitable 2nd order strengthening of the bivariate domain of attraction condition.
Volume (Year): 70 (1997)
Issue (Month): 2 (October)
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- Einmahl, John H. J., 1997.
"Poisson and Gaussian approximation of weighted local empirical processes,"
Stochastic Processes and their Applications,
Elsevier, vol. 70(1), pages 31-58, October.
- Einmahl, J.H.J., 1997. "Poisson and Gaussian approximation of weighted local empirical processes," Other publications TiSEM 07d934b9-2bd4-474a-bf32-f, Tilburg University, School of Economics and Management.
- Einmahl, J. H.J. & Dekkers, A. L.M. & de Haan, L., 1989. "A moment estimator for the index of an extreme-value distribution," Other publications TiSEM 81970cb3-5b7a-4cad-9bf6-2, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & de Haan, L. & Xin, H., 1993.
"Estimating a multidimensional extreme-value distribution,"
Other publications TiSEM
2816eb0c-8f15-4111-94f5-6, Tilburg University, School of Economics and Management.
- Einmahl, J. H. J. & Dehaan, L. & Huang, X., 1993. "Estimating a Multidimensional Extreme-Value Distribution," Journal of Multivariate Analysis, Elsevier, vol. 47(1), pages 35-47, October.
- repec:ner:tilbur:urn:nbn:nl:ui:12-125712 is not listed on IDEAS
- repec:ner:tilbur:urn:nbn:nl:ui:12-142070 is not listed on IDEAS
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