Abstract：In order to improve the rationality during the modeling, we proposed the semiparametric regression model constrained with priori information.At the same time, we deducted the virtual observation solution for this model, which made the regular matrix and normalized parameter have physical meanings in surveying and mapping, and we also proved that the new method is equal to compensated least squares and the new model has good validity and rationality.
Le Kejun,Qiu Bin and Zhu Jianjun,$author.xingMing_EN. SEMI-PARAMETRIC REGRESSION MODEL CONSTRAINED WITH PRIORI INFORMATION AND ITS VIRTUAL OBSERVATIONS SOLUTION[J]. jgg, 2008, 28(6): 107-111.
