A nonparametric test of changing conditional variances in autoregressive time series
文献类型：期刊论文
| 作者 | Chen, M ; Chen, G
|
| 刊名 | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
 |
| 出版日期 | 2001 |
| 卷号 | 30期号:3页码:557-578 |
| 关键词 | marked empirical process nonparametric rest changing conditional variance autoregressive model |
| ISSN号 | 0361-0926 |
| 英文摘要 | A nonparametric test for detecting changing conditional variances in stationary AR(p) time series is proposed in this paper. For AR(1) models. the test statistic is a Kolmogorov-Smirnov type statistic and the asymptotic theory is developed under both the null and the alternative hypotheses. For AR(p) models (p greater than or equal to 2), an approximate test procedure is proposed. The empirical upper percentage points for our test are tabulated for both p = 1 and p = 2 cases and a bootstrap procedure is suggested for the p greater than or equal to 3 case. Monte Carlo simulations demonstrate that the test has very good powers for finite samples under both normal and non-normal errors. |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000170041600011 |
| 出版者 | MARCEL DEKKER INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/16637]  |
| 专题 | 应用数学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China 2.Univ Manitoba, Dept Stat, Winnipeg, MB R3T 2N2, Canada |
| 推荐引用方式 GB/T 7714 | Chen, M,Chen, G. A nonparametric test of changing conditional variances in autoregressive time series[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2001,30(3):557-578. |
| APA | Chen, M,&Chen, G.(2001).A nonparametric test of changing conditional variances in autoregressive time series.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,30(3),557-578. |
| MLA | Chen, M,et al."A nonparametric test of changing conditional variances in autoregressive time series".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 30.3(2001):557-578. |
入库方式： OAI收割
来源：数学与系统科学研究院
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