A CUSUM Tests for Stable Index Changes under Heavy-Tailed Sequences

Hao Jin, Yanru Yao, Liping Yang
{"title":"A CUSUM Tests for Stable Index Changes under Heavy-Tailed Sequences","authors":"Hao Jin, Yanru Yao, Liping Yang","doi":"10.1109/CIS2018.2018.00072","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":185099,"journal":{"name":"2018 14th International Conference on Computational Intelligence and Security (CIS)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS2018.2018.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
重尾序列稳定指数变化的CUSUM检验
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Real-Time Location Privacy Protection Method Based on Space Transformation Cryptanalysis of Kumar's Remote User Authentication Scheme with Smart Card Off-Topic Text Detection Based on Neural Networks Combined with Text Features Research of X Ray Image Recognition Based on Neural Network CFO Algorithm Using Niche and Opposition-Based Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1