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Tests for tar models VS. star models-a separate family of hypotheses approach

Gao, Zhaoxing, Ling, Shiqing and Tong, Howell (2018) Tests for tar models VS. star models-a separate family of hypotheses approach. Statistica Sinica, 28 (4). pp. 2857-2883. ISSN 1017-0405

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Identification Number: 10.5705/ss.202016.0497


The threshold autoregressive (TAR) model and the smooth threshold autoregressive (STAR) model have been popular parametric nonlinear time series models for the past three decades or so. As yet there is no formal statistical test in the literature for one against the other. The two models are fundamentally different in their autoregressive functions, the TAR model being generally discontinuous while the STAR model is smooth (except in the limit of infinitely fast switching for some cases). Following the approach initiated by Cox (1961, 1962), we treat the test problem as one of separate families of hypotheses. The test statistic under a STAR model is shown to follow asymptotically a chi-squared distribution, and the one under a TAR model can be expressed as a functional of a chi-squared process. We present numerical results with both simulated and real data to assess the performance of our procedure.

Item Type: Article
Additional Information: © 2018 Elsevier B.V.
Divisions: Statistics
Date Deposited: 12 Apr 2019 14:51
Last Modified: 20 Oct 2021 03:26

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