Some aspects of extreme value statistics under serial dependence

Some aspects of extreme value statistics under serial dependence
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序列依赖性下极值统计的一些方面

DOI:
10.1007/s10687-007-0051-1
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发表时间:
2007
期刊:
影响因子:
1.3
通讯作者:
H. Drees
H. Drees
中科院分区:
数学3区
文献类型:
--
作者:
H. Drees

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在Laurens de哈安70岁生日之际,我们讨论了时间序列极值行为统计推断的两个方面,特别强调了他的重要贡献。首先,一个直接的边际尾部分析的性能进行比较,基于模型的方法,使用残差分析。其次,通过一个随机递归方程解的例子,讨论了极值指数作为序列极值相关性度量的重要性。
On the occasion of Laurens de Haan’s 70th birthday, we discuss two aspects of the statistical inference on the extreme value behavior of time series with a particular emphasis on his important contributions. First, the performance of a direct marginal tail analysis is compared with that of a model-based approach using an analysis of residuals. Second, the importance of the extremal index as a measure of the serial extremal dependence is discussed by the example of solutions of a stochastic recurrence equation.