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混合系数线性模型参数的一种新估计
引用本文:郭金亚,左卫兵. 混合系数线性模型参数的一种新估计[J]. 河南教育学院学报(自然科学版), 2014, 0(2): 28-31
作者姓名:郭金亚  左卫兵
作者单位:华北水利水电大学数学与信息科学学院,河南郑州450000
摘    要:在连续测量数据的情况下,针对模型的复共线性,给出了混合系数线性模型参数的一类新的有偏估计d*ω=(C'M-1C+I)-1(C'M-1Z+ωd*),证明了在一定条件下该估计优于GLS和岭估计,并讨论了该估计的可容许性,最后又给出了该估计的广义形式.

关 键 词:有偏估计  Liu估计  广义最小二乘估计  均方误差  可容许性

A New Class of Estimators for Coefficients in Mixed Effect Linear Model
GUO Jin-ya,ZUO Wei-bing. A New Class of Estimators for Coefficients in Mixed Effect Linear Model[J]. Journal of Henan Education Institute(Natural Science Edition), 2014, 0(2): 28-31
Authors:GUO Jin-ya  ZUO Wei-bing
Affiliation:( College of Mathematics and Information Seience, North China University of Water Resources and Electric Power, Zhengzhou 450000, China)
Abstract:In the repeated-measures data model, in order to deal with the muhiconllinearity, a new class of estimator d*ω=(C'M-1C+1)-1(C'M-1Z+ωD*)for the parameters in mixed effect linear model is proposed. Under certain conditions, the new estimator is shown to be superior to the GLS estimators and Ridge estimators. Its admis- sibility is discussed, and a generalized form of the estimator is presented.
Keywords:biased estimate  Liu estimate  generalized least squares estimate  mean square error  admissibility
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