Asymptotic properties of generalized DPR statistic

被引:0
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作者
Marijus Vaičiulis
机构
[1] Vilnius University,Institute of Mathematics and Informatics
[2] Vilnius University,Faculty of Mathematics and Informatics
关键词
MSC; 62F12; 62G32; 60F05; asymptotic normality; DPR estimator; Hill estimator; Pickands estimator; mean-squared error; tail index;
D O I
10.1007/s10986-012-9158-4
中图分类号
学科分类号
摘要
We investigate asymptotic properties of the so-called generalized Davydov, Paulauskas, and Račkauskas statistic that was introduced in [V. Paulauskas and M. Vaičiulis, Several modifications of DPR estimator of the tail index, Lith. Math. J., 51(1):36–50, 2011]. We obtain an asymptotics of the bias of this statistic and show that this statistic is asymptotically normal. As an application, we provide a new class of semiparametric heavy-tailed estimators and compare these estimators with other estimators, including the popular Hill and Pickands estimators.
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页码:95 / 110
页数:15
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