© 1995 by Biometrika Trust
Nonparametric tests of linearity for time series
Department of Mathematics, University of Bergen 5007 Bergen, Norway
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.
Key Words: Bootstrap Conditional mean Conditional variance Linear Nonparametric Time series
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