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