NONPARAMETRIC-TESTS OF LINEARITY FOR TIME-SERIES

成果类型:
Article
署名作者:
HJELLVIK, V; TJOSTHEIM, D
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
发表日期:
1995
页码:
351368
关键词:
Nonlinearity models
摘要:
We introduce tests of linearity for time series based on nonparametric estimates of the conditional mean and the conditional variance. The tests are compared to a number of parametric tests and to nonparametric tests based on the bispectrum. Asymptotic expressions give bad approximations, and the null distribution under linearity is constructed using resampling of the best linear approximation. The new tests perform well on the examples tested.