摘要
研究了最小二乘准则下线性向量半参数模型的核估计、近邻估计及样条估计3种估计方法,分析了向量半参数模型与标量半参数模型在这几种估计方法中的差异。
The estimating theory of vector semiparametric models under the least-square principle, including Kernel Estimation, Nearest-Neighbor Estimation and Spline Estimation is studied. The difference between the vector semiparametric model and scale semiparametric model in the three estimations is analyzed.
出处
《大地测量与地球动力学》
CSCD
北大核心
2006年第4期10-13,共4页
Journal of Geodesy and Geodynamics
基金
现代工程测量国家测绘局重点实验室开放基金(ES-SBSM-(06)-11)
国家自然科学基金(40474003)
关键词
线性向量半参数模型
最小二乘
核估计
近邻估计
样条估计
Linear Vector Semiparametric Model, least-square, Kernel Estimation, Nearest-Neighbor Estimation,Spline Estimation
