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带线性约束的回归模型参数估计的新研究
引用本文:吴平,王中艳,陈兰花. 带线性约束的回归模型参数估计的新研究[J]. 数学理论与应用, 2010, 0(4): 103-106
作者姓名:吴平  王中艳  陈兰花
作者单位:空军雷达学院基础部,武汉430019
摘    要:针对一般带约束的最小二乘估计(ORLSE)在参数估计中处理复共线性的不足,引入随机线性约束,提出了约束k-d估计方法。在均方误差(MSE)下,讨论了它的性质,得到了四个主要结果,与带约束的最小二乘估计ORLSE、约束岭估计(RRE)和约束型Liu估计比较,得出更好的结论。

关 键 词:线性回归  复共线性  k-d型估计  均方误差

New Research on An Estimation of Parameter For the Linear Model with Linear Restrictions
Wu Ping Wang Zhongyan Chen Lanhua. New Research on An Estimation of Parameter For the Linear Model with Linear Restrictions[J]. Mathematical Theory and Applications, 2010, 0(4): 103-106
Authors:Wu Ping Wang Zhongyan Chen Lanhua
Affiliation:Wu Ping Wang Zhongyan Chen Lanhua(Department of The Basics,AFRA,Wuhan,430019)
Abstract:In order to overcome the shortage of the multicollinearity in ordinary restricted least square estimation with parameter estimate,based on the stochastic linear restrictions,a new estimation as restricted linear k-d-type estimation is proposed.In the mean squared error sense,discuss its properties,get three main results,compare with the ordinary restricted least squares estimation,and the restricted ridge estimation,the method we proposed was superior.
Keywords:Linear regression Multicollinearity k-d estinmate Mean square error sense
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