Testing the tail index in autoregressive models

被引:0
作者
Jana Jurečková
Hira L. Koul
Jan Picek
机构
[1] Charles University in Prague,Department of Probability and Mathematical Statistics
[2] Michigan State University,Department of Statistics and Probability
[3] Technical University in Liberec,Department of Applied Mathematics
来源
Annals of the Institute of Statistical Mathematics | 2009年 / 61卷
关键词
Empirical process; Heavy tailed distribution; Feigin-Resnick estimator; Pareto tail index;
D O I
暂无
中图分类号
学科分类号
摘要
We propose a class of nonparametric tests on the Pareto tail index of the innovation distribution in the linear autoregressive model. The simulation study illustrates a good performance of the tests. Such tests have various applications in a study of flood flows, rainflow data, behavior of solids, atmospheric ozone layer and reliability analysis, in communication engineering, in stock markets and insurance.
引用
收藏
页码:579 / 598
页数:19
相关论文
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