Rank-Based Inference for Bivariate Extreme-Value Copulas

Consider a continuous random pair (X, Y) whose dependence is characterized by an extreme-value copula with Pickands dependence function A. When the marginal distributions of X and Y are known, several consistent estimators of A are available. Most of them are variants of the estimators due to Pickan...

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Veröffentlicht in:The New York Times Current History of the European War. - THE NEW YORK TIMES COMPANY, 1820. - 37(2009), 5B, Seite 2990-3022
1. Verfasser: Genest, Christian (VerfasserIn)
Weitere Verfasser: Segers, Johan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:The New York Times Current History of the European War
Schlagworte:Primary 62G05 Primary 62G32 secondary 62G20 Asymptotic theory copula extreme-value distribution nonparametric estimation Pickands dependence function rank-based inference Mathematics mehr... Business Behavioral sciences
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520 |a Consider a continuous random pair (X, Y) whose dependence is characterized by an extreme-value copula with Pickands dependence function A. When the marginal distributions of X and Y are known, several consistent estimators of A are available. Most of them are variants of the estimators due to Pickands [Bull. Inst. Internat. Statist. 49 (1981) 859-878] and Capéraà, Fougères and Genest [Biometrika 84 (1997) 567-577]. In this paper, rank-based versions of these estimators are proposed for the more common case where the margins of X and Y are unknown. Results on the limit behavior of a class of weighted bivariate empirical processes are used to show the consistency and asymptotic normality of these rank-based estimators. Their finite- and large-sample performance is then compared to that of their known-margin analogues, as well as with endpoint-corrected versions thereof. Explicit formulas and consistent estimates for their asymptotic variances are also given. 
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650 4 |a Business  |x Business economics  |x Commercial production  |x Production resources  |x Resource management  |x Logistics 
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