Abstract
This paper investigates the mathematic features of non-linear models and discusses the processing way of non-linear factors which contributes to the non-linearity of a non-linear model. On the basis of the error definition, this paper puts forward a new adjustment criterion, SGPE. Last, this paper investigates the solution of a non-linear regression model in the non-linear model space and makes the comparison between the estimated values in non-linear model space and those in linear model space.
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Project supported by the National Natural Science Foundation of China (No. 40001017).
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Chaokui, L., Qing, Z. & Chengfang, S. Processing approach of non-linear adjustment models in the space of non-linear models. Geo-spat. Inf. Sci. 6, 25–30 (2003). https://doi.org/10.1007/BF02826750
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DOI: https://doi.org/10.1007/BF02826750