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文章基本信息

  • 标题:Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models
  • 本地全文:下载
  • 作者:Yanqin Feng ; Guoxin Zuo ; Li Liu
  • 期刊名称:Journal of Probability and Statistics
  • 印刷版ISSN:1687-952X
  • 电子版ISSN:1687-9538
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.1155/2012/131085
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The functional coefficient partially linear regression model is a useful generalization of the nonparametric model, partial linear model, and varying coefficient model. In this paper, the local linear technique and the method are employed to estimate all the functions in the functional coefficient partially linear regression model. The asymptotic properties of the proposed estimators are studied. Simulation studies are conducted to show the validity of the estimate procedure.
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