Non-parametric testing of conditional variance functions in time series

被引：5

作者：

Laïb, N ^{[1
]}

机构：

[1] Univ Paris 06, LSTA, F-93100 Montreuil, France

来源：

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS | 2003年 / 45卷 / 04期

关键词：

ARCH-models; autoregression; conditional variance; ergodic; goodness-of-fit;

D O I：

10.1111/1467-842X.00298

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 proposes a non-parametric test for examining hypotheses about variance functions under stationarity and ergodicity conditions. Special cases of nonlinear time series models are studied, and it is found that under mild conditions the test is consistent. Its power is examined in a simulation study.

引用

页码：461 / 475

页数：15

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