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复共线情况下强影响点的判别法
引用本文:林路. 复共线情况下强影响点的判别法[J]. 邵阳学院学报(社会科学版), 1997, 0(2)
作者姓名:林路
作者单位:邵阳师专数学系 湖南
摘    要:统计学研究的出发点是数据集D.本文把D纳入线性回归模型M.当D有复共线性现象时,以最小二乘估计为基础的影响分析往往失效,于是,本文探讨以有编估计为基础的影响分析.

关 键 词:影响分析  复共线  强影响点  有偏估计

Some Methods of Influential Point Detection Under Multi-collinearity Condition
Lin Lu. Some Methods of Influential Point Detection Under Multi-collinearity Condition[J]. Journal of Shaoyang University:Social Science, 1997, 0(2)
Authors:Lin Lu
Affiliation:Lin Lu Department of Mathematics,Shaoyang Teachers Colleye
Abstract:Statistical research starts from a data set. In this paper,the data set is brought into a lin-ear regression model. When there is multi-collinearity in the data set,the influence analysis,based on the least squares estimator,often loses its efficacy. Thus,this paper studies the in-fluence analysis based on biased estimation.
Keywords:Influence analysis  multi--collinearity  influential point  biased estimation
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