Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154403 | Statistics & Probability Letters | 2008 | 10 Pages |
Abstract
This paper considers the problem of fitting an error density to the goodness-of-fit test of the errors in a nonlinear autoregressive stationary time series regression model. The test statistic is based on the integrated squared error of the nonparametric error density estimate and the null error density. Without knowing the nonlinear autoregressive function, we can show that the test statistic behaves asymptotically the same as the one based on the true errors.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Fuxia Cheng, Shuxia Sun,