重尾序列稳定指数变化的CUSUM检验

Hao Jin, Yanru Yao, Liping Yang
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引用次数: 0

摘要

本文在CUSUM检验的基础上,考虑检验方差无穷大的重尾观测值的重指标断裂。在适当的条件下,得到了检验统计量在零假设下的渐近分布,并在备择假设下证明了检验统计量的一致性。通过蒙特卡罗模拟得到临界值,通过拟合得到其响应曲线。最后,蒙特卡罗研究表明,我们的测试在有限的样本中具有相当好的尺寸和功率特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A CUSUM Tests for Stable Index Changes under Heavy-Tailed Sequences
Based on the CUSUM test, this paper considers testing a heavy index break of heavy-tailed observations with infinite variance. Given for the appropriate conditions, the asymptotic distribution of the test statistic is obtained under the null hypothesis and its consistency is proved under the alternative hypothesis. The critical value can be obtained by Monte Carlo simulation and its respond curve is obtained by fitting. Finally, a Monte Carlo study shows that our test has reasonably good size and power properties in finite samples.
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