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文章基本信息

  • 标题:The k nearest neighbors estimation of the conditional hazard function for functional data
  • 本地全文:下载
  • 作者:Mohammed Kadi Attouch ; Fatima Zohra Belabed.
  • 期刊名称:RevStat : Statistical Journal
  • 印刷版ISSN:1645-6726
  • 出版年度:2014
  • 卷号:12
  • 期号:3
  • 页码:273-297
  • 出版社:Instituto Nacional de Estatística
  • 摘要:In this pap er, we study the nonparametric estimator of the conditional hazard func- tion using the k nearest neighbors (k-NN) estimation method for a scalar response variable given a random variable taking values in a semi-metric space. We give the almost complete convergence (its corresponding rate) of this estimator and we estab- lish the asymptotic normality. Then the e.ectiveness of this metho d is exhibited by a comparison with the kernel method estimation given in Ferraty et al. ([12]) and Laksaci and Mechab ([15]) in both cases simulated data and real data.
  • 关键词:functional data; nonparametric regression; k-NN estimator; the conditional hazard ; function; rate of convergence; random bandwidth; asymptotic normality
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