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首页> 美国政府科技报告 >Nonparametric Estimation in Change-Point Hazard Rate Models for Censored Data: ACounting Process Approach
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Nonparametric Estimation in Change-Point Hazard Rate Models for Censored Data: ACounting Process Approach

机译：截尾数据变点危险率模型的非参数估计：交易过程法

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摘要

A nonparametric method for estimating the amplitude of a changepoint inchangepoint hazard models under random censorship is described. Within the general framework of counting processes, using the kernel method of estimation in partial linear models, a consistent estimator for the rate of change at the breakpoint is obtained. The resulting hazard rate function estimate is shown to be consistent. The performance of the estimators are checked via simulations. A kernel type semiparametric estimator is derived for the intensity of a semiparametric counting process model.

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