Test for tail index change in stationary time series with Pareto-type marginal distribution

被引:16
|
作者
Kim, Moosup [1 ]
Lee, Sangyeol [1 ]
机构
[1] Seoul Natl Univ, Dept Stat, Seoul 151742, South Korea
关键词
autoregressive process; change point test; cusum test; extreme value theory; Hill's estimator; mixing condition; tail index; tail sequential process; PARAMETER CHANGE; HILL ESTIMATOR; DEPENDENT DATA; SQUARES; CUSUM; SUMS; CONSTANCY; INFERENCE; VARIANCE; MODELS;
D O I
10.3150/08-BEJ157
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The tail index, indicating the degree of fatness of the tail distribution, is an important component of extreme value theory since it dominates the asymptotic distribution of extreme values Such as the sample maximum. In this paper, we consider the problem of testing for a change in the tail index of time series data. As a test, we employ the cusum test and investigate its null limiting distribution. Further, we derive the null limiting distribution of the cusum test based on the residuals from autoregressive models. Simulation results are provided for illustration.
引用
收藏
页码:325 / 356
页数:32
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