| Semiparametric Regreswsion and Model Refining |
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| 作者姓名： | SUN Haiyan WU Yun |
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| 作者单位： | Porfessor,Ph.Dsupervisor,SchoolofGeodesyandGeomatics,WuhanUniversity,129LuoyuRoad,Wuhan430079,China |
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| 基金项目： | ProjectsupportedbytheSustentationPlanforOutstandingTeacherofAdvancedCollegesbyMinistryofEducation (2 0 0 0 0 5)，theNationalDevelopmentFundofSurveyingandMapping (2 0 0 1_0 1_0 3) |
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| 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.
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| 关 键 词： | 测量数据 模型误差 系统误差 半参数估计法 粗差 测量误差 |
Semiparametric regression and model refining |
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| SUN Haiyan WU Yun.Semiparametric Regreswsion and Model Refining[J].Geo-Spatial Information Science,2002,5(4):10-13. |
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| Authors: | Sun Haiyan Wu Yun |
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| Institution: | SUN Haiyan WU Yun |
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| Abstract: | 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. |
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| Keywords: | model error systematric error semiparametric regression model refine regularizer matrix smoothing parameter |
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