Asymptotic behaviour of regular estimators
Autor: | Jean Diebolt, Armelle Guillou |
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Jazyk: | angličtina |
Rok vydání: | 2005 |
Předmět: | |
Zdroj: | Revstat Statistical Journal, Vol 3, Iss 1 (2005) |
Druh dokumentu: | article |
ISSN: | 1645-6726 2183-0371 |
DOI: | 10.57805/revstat.v3i1.16 |
Popis: | The P.O.T. (Peaks-Over-Threshold) approach consists of using the generalized Pareto distribution (GPD) to approximate the distribution of excesses over thresholds. We use the maximum likelihood estimators, or some other ones satisfying regularity conditions, to estimate the parameters of the approximating distribution. We study the asymptotic bias of these estimators and also the functional bias of the estimated GPD. |
Databáze: | Directory of Open Access Journals |
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