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文章基本信息

  • 标题:Semiparametric regression and model refining
  • 本地全文:下载
  • 作者:Sun Haiyan ; Wu Yun
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2002
  • 卷号:5
  • 期号:4
  • 页码:10-13
  • DOI:10.1007/BF02826468
  • 出版社:Taylor and Francis Ltd
  • 摘要:This paper presents a semiparametric adjustment method suitable for general cases. Assuming that the regularizer matrix is positive definite, the calculation method is discussed and the corresponding formulae are presented. Finally, a simulated adjustment problem is constructed to explain the method given in this paper. The results from the semiparametric model and G-M model are compared. The results demonstrate that the model errors or the systematic errors of the observations can be detected correctly with the semiparametric estimate method.
  • 关键词:model error; systematric error; semiparametric regression; model refiner; regularizer matrix; smoothing parameter
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