Abstract
In this paper, we consider the change-point estimation in the censored regression model assuming that there exists one change point. A nonparametric estimate of the change-point is proposed and is shown to be strongly consistent. Furthermore, its convergence rate is also obtained.
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This work was partially supported by the National Natural Science Foundation of China (Grant No. 10471136), Ph.D. Program Foundation of the Ministry of Education of China, and Special Foundations of the Chinese Academy of Science and USTC.
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Wang, Zf., Wu, Yh. & Zhao, Lc. Change-point estimation for censored regression model. SCI CHINA SER A 50, 63–72 (2007). https://doi.org/10.1007/s11425-007-2039-3
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DOI: https://doi.org/10.1007/s11425-007-2039-3