“Asymptotically Unbiased” Estimators of the Tail Index Based on External Estimation of the Second Order Parameter

被引:5
|
作者
M. Ivette Gomesa
M. João Martins
机构
[1] Universidade de Lisboa,D.E.I.O. and C.E.A.U.L.
[2] Universidade Técnica de Lisboa,Departamento de Matemática, Instituto Superior de Agronomia
关键词
statistics of extremes; semi-parametric estimation; generalized Jackknife statistics;
D O I
10.1023/A:1020925908039
中图分类号
学科分类号
摘要
In this paper we shall deal with the asymptotic and finite sample properties of “asymptotically unbiased” estimators of the tail index γ, based on “external” adequate estimators of the second order parameter ρ. The behavior of the ρ-estimator considered has indeed a high impact on the distributional properties of the final estimator of γ, and must be carefully chosen. As a by-product of the final study we present also the finite sample properties of a few ρ-estimators available in the literature.
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页码:5 / 31
页数:26
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