The weighted sum of powers in mean for estimating a change point in linear processes with random coefficients
Yi Wu,
Wei Wang,
Shipeng Wu and
Xuejun Wang
Journal of Applied Statistics, 2024, vol. 51, issue 16, 3308-3332
Abstract:
Let $ \{X_{i},1\leq i\leq n\} $ {Xi,1≤i≤n} be a sequence of linear process based on dependent random variables with random coefficients, which has a mean shift at an unknown location. The weighted sum of powers in mean (WSPM, for short) estimator of the change point is proposed. The weak consistency, the rate of weak consistency and strong consistency for the WSPM estimator are established under some mild conditions. Simulation studies and two real data exercises are also provided to show the superiority of this new method to some existing methods.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:51:y:2024:i:16:p:3308-3332
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DOI: 10.1080/02664763.2024.2346827
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