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Semiparametric Regression and Model Refining 被引量:13
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作者 SUN Haiyan WU Yun 《Geo-Spatial Information Science》 2002年第4期10-13,共4页
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 presen... 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. 展开更多
关键词 model error systematric error semiparametric regression model refine regularizer matrix smoothing parameter
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