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多元线性模型带约束参数集的线性估计泛可容许性
Universal Admissibility of Linear Estimatiors in Multivariate Linear Models with Respect to A Restricted Parameter Set
【摘要】 文中给出了多元线性模型 ( Y,XΘ,V Σ)中回归系数的线性估计在线性估计类中是泛可容许的一些特征 ,其中损失函数取为 ( D( Y) - SΘ )′( D( Y) - SΘ) ,参数Θ和Σ取值于约束集合HN={( Θ,Σ) :Θ′X′NXΘ≤Σ,N≥ 0 }
【Abstract】 In this paper, we will give some characters of the universal admissibility for linear estimators of regression coefficients under the multivariate linear models (Y,XΘ,VΣ) and the matrix loss function (D(Y)-SΘ)′(D(Y)-SΘ), where considered parameters Θ and Σ vary in the restricted class H\-N={(Θ,Σ):Θ′X′NXΘ≤Σ,N≥0}. The shown results shall establish the relationship between the linear admissible estimators of SΘ under the multivariate linear model (Y,XΘ,VΣ) and the linear admissible estimators of Sβ under the Gauss Markov model (Y,Xβ,σ\+2V) and extend some results in literature.
【Key words】 Universal admissibility; Multivariate linear model; Linear estimator.;
- 【文献出处】 数学物理学报 ,Acta Mathematiea Scientia , 编辑部邮箱 ,2002年03期
- 【分类号】O212.4
- 【被引频次】18
- 【下载频次】100