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Model diagnosis for SETAR time series. (English) Zbl 1086.62099
Summary: This paper discusses asymptotically distribution free (ADF) tests in self-exciting threshold autoregressive (SETAR) models. We also consider the case when the two different line segments have no jump. These tests are based on a marked empirical process of the underlying residuals. The paper also discusses the asymptotic behavior of the residual empirical process and ADF tests for the error distribution. We find that under some mild conditions, the asymptotic null behavior of both of these processes does not depend on the preliminary estimator of the change point parameter. Moreover, somewhat surprisingly, the asymptotic behavior of the residual empirical process in these models is the same as in the one-sample location model, as long as the residuals are based on an asymptotically linear estimator of the line segment parameters. The paper also includes a simulation study analyzing the finite sample behavior of some of the proposed tests.

MSC:
62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)
62G10 Nonparametric hypothesis testing
62G20 Asymptotic properties of nonparametric inference
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