Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
469893 | Computers & Mathematics with Applications | 2008 | 12 Pages |
Abstract
In this paper, we study the local power of a Cramér–von Mises type test for parametric autoregressive models, when the data are stationary and ergodic. Our test is based on the limiting distribution of the cumulative residual process associated to the null model. We prove the contiguity of the null hypothesis H0H0 and a sequence of local alternatives that converges to H0H0 at rate 1/n from a fixed direction. From this result, the limiting distribution of the test statistic and the power are computed under these local alternatives. Simulation experiments show that the test is powerful against some exponential models.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Joseph Ngatchou-Wandji, Nâamane Laïb,