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Testing for structural change of AR model to threshold AR model

机译:测试从AR模型到阈值AR模型的结构变化

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The purpose of this article is to develop the likelihood ratio test for the structural change of an AR model to a threshold AR model. It is shown that the log-likelihood ratio test converges to the maxima of a two-parameter Gaussian process in distribution. This limiting distribution is novel and we tabulate the critical values. Some simulations are carried out to examine the finite-sample performance of this test statistic. This article also includes a weak convergence of a two-parameter marked empirical process, which is of independent interest
机译:本文的目的是为AR模型向阈值AR模型的结构变化开发似然比检验。结果表明,对数似然比检验在分布中收敛于两参数高斯过程的最大值。这种极限分布是新颖的,我们将临界值制成表格。进行了一些模拟,以检验该测试统计量的有限样本性能。本文还包括两个参数标记的经验过程的弱收敛性,这是独立关注的

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