A nonparametric test of conditional autoregressive heteroscedasticity for threshold autoregressive models
Chen, M; Chen, GM
刊名CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
2001-12-01
卷号29期号:4页码:649-666
关键词conditional heteroscedasticity nonparametric test threshold autoregressive model
ISSN号0319-5724
英文摘要Threshold autoregressive models are widely used in time-series applications. When building or using such a model, it is important to know whether conditional heteroscedasticity exists. The authors propose a nonparametric test of this hypothesis. They develop the large-sample theory of a test of nonlinear conditional heteroscedasticity adapted to nonlinear autoregressive models and study its finite-sample properties through simulations. They also provide percentage points for carrying out this test, which is found to have very good power overall.
WOS研究方向Mathematics
语种英语
出版者CANADIAN JOURNAL STATISTICS
WOS记录号WOS:000173921500009
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/16740]  
专题中国科学院数学与系统科学研究院
通讯作者Chen, M
作者单位Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Chen, M,Chen, GM. A nonparametric test of conditional autoregressive heteroscedasticity for threshold autoregressive models[J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,2001,29(4):649-666.
APA Chen, M,&Chen, GM.(2001).A nonparametric test of conditional autoregressive heteroscedasticity for threshold autoregressive models.CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,29(4),649-666.
MLA Chen, M,et al."A nonparametric test of conditional autoregressive heteroscedasticity for threshold autoregressive models".CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 29.4(2001):649-666.
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