Nonparametric model checks for time series

被引:6
|
作者
Koul, HL [1 ]
Stute, W
机构
[1] Michigan State Univ, Dept Stat & Probabil, E Lansing, MI 48824 USA
[2] Univ Giessen, Inst Math, D-35392 Giessen, Germany
来源
ANNALS OF STATISTICS | 1999年 / 27卷 / 01期
关键词
marked empirical process; psi-residuals; martingale transform tests; autoregressive median function;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper studies a class of tests useful for testing the goodness-of-fit of an autoregressive model. These tests are based on a class of empirical processes marked by certain residuals. The paper first gives their large sample behavior under null hypotheses. Then a martingale transformation of the underlying process is given that makes tests based on it asymptotically distribution free. Consistency of these tests is also discussed briefly.
引用
收藏
页码:204 / 236
页数:33
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