Weighted Kolmogorov-Smirnov test: Accounting for the tails - Archive ouverte HAL
Article Dans Une Revue Physical Review E : Statistical, Nonlinear, and Soft Matter Physics Année : 2012

Weighted Kolmogorov-Smirnov test: Accounting for the tails

Résumé

Accurate goodness-of-fit tests for the extreme tails of empirical distributions is a very important issue, relevant in many contexts, including geophysics, insurance, and finance. We have derived exact asymptotic results for a generalization of the large-sample Kolmogorov-Smirnov test, well suited to testing these extreme tails. In passing, we have rederived and made more precise the approximate limit solutions found originally in unrelated fields, first in [L. Turban J. Phys. A 25 127 (1992)] and later in [P. L. Krapivsky and S. Redner Am. J. Phys. 64 546 (1996)].

Dates et versions

hal-00722264 , version 1 (01-08-2012)

Identifiants

Citer

Rémy Chicheportiche, Jean-Philippe Bouchaud. Weighted Kolmogorov-Smirnov test: Accounting for the tails. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2012, 86 (4), pp.1115. ⟨10.1103/PhysRevE.86.041115⟩. ⟨hal-00722264⟩
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