首页 | 本学科首页   官方微博 | 高级检索  
     检索      

A Score Type Test for General Autoregressive Models in Time Series
作者姓名:Jian-hong  Wu  Li-xing  Zhu
作者单位:[1]College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China [2]Hong Kong Baptist University, Hong Kong, China [3]East China Normal University, Shanghai 200062, China
基金项目:Supported by a grant from the Research Grants Council of Hong Kong.
摘    要:

关 键 词:自回归级数  极值  时间参数  标记类型
修稿时间:2006-06-02

A Score Type Test for General Autoregressive Models in Time Series
Jian-hong Wu Li-xing Zhu.A Score Type Test for General Autoregressive Models in Time Series[J].Acta Mathematicae Applicatae Sinica,2007,23(3):439-450.
Authors:Jian-hong Wu  Li-xing Zhu
Institution:(1) College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China;(2) Hong Kong Baptist University, Hong Kong, China;(3) East China Normal University, Shanghai, 200062, China
Abstract:This paper is devoted to the goodness-of-fit test for the general autoregressive models in time series. By averaging for the weighted residuals, we construct a score type test which is asymptotically standard chi-squared under the null and has some desirable power properties under the alternatives. Specifically, the test is sensitive to alternatives and can detect the alternatives approaching, along a direction, the null at a rate that is arbitrarily close to n-1/2. Furthermore, when the alternatives are not directional, we construct asymptotically distribution-free maximin tests for a large class of alternatives. The performance of the tests is evaluated through simulation studies.
Keywords:Autoregressive model  goodness-of-fit  maximin test  model checking  score type test  time series
本文献已被 维普 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号