改进了系统差附加条件的半参数回归与模型精化

Semi-parametric regression and model refining using modified additional conditions of systematic error

系统差之和∑si≠0时,利用附加系统差之和∑si=0的半参数模型往往得不到较好的数据处理结果,文中从理论上对系统差附加条件进行了改进,并基于改进前、改进后的半参数模型以及经典最小二乘平差模型对系统差之和∑si≠0时的算例进行处理。结果表明,改进后的半参数模型大大提高了数据处理精度。

The accuracy of the estimated value of the parameters acquired using semi-parametric model with the additional condition of the sum of the estimated value of systematic error ∑si≠0,while the sum of the estimated value of systematic error ∑si=0 in fact,was always not good.So the additional condition of the sum of the estimated value of systematic error was modified theoretically in this paper and the effective of the modified model was proved using the data which the sum of the estimated value of systematic error ∑si≠0.The result of the data processed shows that the accuracy of the estimated value of the parameters was improved effectively.