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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Project supported by the Sustentation Plan for Outstanding Teacher of Advanced Colleges by Ministry of Education (200005); the National Development Fund of Surveying and Mapping (2001-01-03).
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Haiyan, S., Yun, W. Semiparametric regression and model refining. Geo-spat. Inf. Sci. 5, 10–13 (2002). https://doi.org/10.1007/BF02826468
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DOI: https://doi.org/10.1007/BF02826468