Nonparametric Inference of Right Censored Data Using Smoothing Splines

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：oslo123

【摘要】

：

This paper introduces a penalized nonparametric maximum likelihood estimation of the log-hazard function in analyzing right censored data.

【作者】

：

Yuanyuan Lin Meiling Hao Xingqiu Zhao

【机构】

：

Department of Statistics,The Chinese University of Hong Kong,Hong Kong,China

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Functional Bahadur representation Nonparametric inference Penalized likelihood R

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　　This paper introduces a penalized nonparametric maximum likelihood estimation of the log-hazard function in analyzing right censored data.

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Nonparametric Inference of Right Censored Data Using Smoothing Splines

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