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A note on the consistency of a robust estimator for threshold autoregressive processes

机译:关于阈值自回归过程的鲁棒估计量的一致性的注记

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摘要

The method of conditional least squares is commonly used for estimating threshold autoregressive parameters, and its consistency was derived by Chan [Chan, K.S., 1993. Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model. Annals of Statistics 21, 520-533]. In this note we consider a general class of robust estimators for threshold autoregressive models, and under some regularity conditions and a proper choice of the weight function, the consistency is demonstrated.
机译:条件最小二乘法通常用于估计阈值自回归参数,其一致性由Chan [Chan,K.S.,1993.阈值自回归模型的最小二乘估计的一致性和极限分布。统计年鉴21,520-533]。在本说明中,我们考虑了阈值自回归模型的一类鲁棒估计量,并且在某些规律性条件和权函数的正确选择下,证明了一致性。

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