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Change-point estimation for censored regression model
作者姓名:Zhan-feng WANG  Yao-hua WU & Lin-cheng ZHAO
作者单位:Zhan-feng WANG,Yao-hua WU & Lin-cheng ZHAO Department of Statistics and Finance,University of Science and Technology of China,Hefei 230026,China
摘    要: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.

收稿时间:12 December 2005
修稿时间:20 July 2006

Change-point estimation for censored regression model
Zhan-feng WANG,Yao-hua WU & Lin-cheng ZHAO.Change-point estimation for censored regression model[J].Science in China(Mathematics),2007,50(1):63-72.
Authors:Zhan-feng Wang  Yao-hua Wu  Lin-cheng Zhao
Institution:Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China
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.
Keywords:censored regression  least absolute deviance (LAD)  change-point  strong consistence  convergence rate
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