摘要
本文挖掘先验信息作为虚拟观测并与实际观测建立联合误差模型,对此模型利用Helmert方差分量估计理论求解。通过模拟算例、工程实例的对比和分析,得出了该法对参数的拟合效果优于最小二乘法、补偿最小二乘法,论证了其在物理解释方面和拟合效果方面的可行性和有效性。
The paper excavated a priori information as virtual observation and the actual observation establish the error model, used Helmert variance component estimation theory to solve the model. Practical examp]es showed that this method was better than least squares or compensative least squares method in fitting results with its feasibility and efficiency in physical interpretation and fitting results.
出处
《测绘科学》
CSCD
北大核心
2013年第5期152-153,161,共3页
Science of Surveying and Mapping
基金
国家自然科学基金(41071294)
关键词
半参数回归模型
虚拟观测
HELMERT方差分量估计
semiparametric regression model
virtual observation
Helmert variance component estimation
