摘要
首先介绍信息扩散估计的理论和方法,然后对受到粗差污染的大坝观测数据,应用信息扩散估计方法进行线性模型的参数估计。应用示例表明,信息扩散估计与传统的最小二乘法相比具有较好的抗差性,应用于大坝观测数据的分析,具有一定的实用性和合理性。
First it introduces the theory and method of information spreading estimation. Then with the observation data of the dam polluted by gross error, the method of information spreading estimation is used to estimate the parameter of the linear model, it indicates that information spreading estimation has better robustness with comparison of traditional minimum least square method. It has certain practicability and rationality in application of analyzing the observation data of dams.
出处
《水力发电学报》
EI
CSCD
北大核心
2006年第4期122-125,130,共5页
Journal of Hydroelectric Engineering
关键词
工程数学
抗差性
信息扩散估计
大坝
粗差
engineering math
robustness
information spreading estimation
large dam
gross error
