Large deviation probabilities for tail index estimators

We study the asymptotic behavior of large deviation probabilities for a general class of tail index estimators. This new class consists of the generalized version of the weighted least-squares estimators proposed by Viharos [9] and also contains the class of kernel estimators obtained by Csörgő et a...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerző: Viharos László
Dokumentumtípus: Cikk
Megjelent: Bolyai Institute, University of Szeged Szeged 2008
Sorozat:Acta scientiarum mathematicarum 74 No. 1-2
Kulcsszavak:Matematika
Tárgyszavak:
Online Access:http://acta.bibl.u-szeged.hu/16247
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520 3 |a We study the asymptotic behavior of large deviation probabilities for a general class of tail index estimators. This new class consists of the generalized version of the weighted least-squares estimators proposed by Viharos [9] and also contains the class of kernel estimators obtained by Csörgő et al. [3]. Based on the large deviation probabilities, a comparison of the members of this class can be made. The Hill estimator turns out to have optimal rate of convergence within a subclass of estimators. 
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