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文章基本信息

  • 标题:A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting
  • 本地全文:下载
  • 作者:Christophe Chesneau
  • 期刊名称:International Journal of Mathematics and Mathematical Sciences
  • 印刷版ISSN:0161-1712
  • 电子版ISSN:1687-0425
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/195765
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We investigate the estimation of the derivatives of a regression function in the nonparametric regression model with random design. New wavelet estimators are developed. Their performances are evaluated via the mean integrated squared error. Fast rates of convergence are obtained for a wide class of unknown functions.
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