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变系数模型的B样条S估计

B Splines with S-Estimation for Varying Coefficient Models
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摘要 使用一个B样条S估计方法来研究变系数模型,得到了系数函数估计的简约表达式和一个基于S估计的广义交叉核实变量选择准则(GCV),设计了一个迭代算法用来寻找最优的S估计.通过Monte Carlo实验证明,该方法是稳健可靠的. The B splines with S-estimation method is used for discussing the varying coefficient models. By employing this method, a simple estimation form of the coefficient functions is obtained and a generalized cross validation (GCV) criterion is derived for the S-estimation. Furthermore, an iterative algorithm is provided for searching the optimal S estimation. It is shown that this method is robust and reliable by means of Monte Carlo simulation.
出处 《武汉大学学报(理学版)》 CAS CSCD 北大核心 2011年第2期100-104,共5页 Journal of Wuhan University:Natural Science Edition
基金 教育部重点项目(109140) 西南财经大学211三期特色项目(211DT03)
关键词 B样条S估计 变系数模型 迭代算法 MONTE CARLO模拟 B splines with S-estimation varying coefficient models iterative algorithm Monte Carlosimulation
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参考文献10

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