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文章基本信息

  • 标题:Estimating Multiplicative and Additive Hazard Functions by Kernel Methods
  • 本地全文:下载
  • 作者:Oliver Linton ; Jens Perch Nielsen ; Sara van de Geer
  • 期刊名称:Econometrics Publications
  • 印刷版ISSN:0969-4366
  • 出版年度:2001
  • 出版社:Suntory Toyota International Centre for Economics and Related Disciplines
  • 摘要:We propose new procedures for estimating the univariate quantities of interest in both additive and multiplicative nonparametric marker dependent hazard models. We work with a full counting process framework that allows for left truncation and right censoring. Our procedures are based on kernels and on the idea of marginal integration. We provide a central limit theorem for our estimator
  • 关键词:Additive model; censoring; kernel; proportional hazards; survival ;analysis
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