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ALL ADMISSIBLE LINEAR ESTIMATES OF REGRESSION COEFFICIENTS UNDER MATRIX LOSS
作者姓名:吴启光  陈建宝
作者单位:Institute of Systems Science Academia Sinica,Beijing,China,Institute of Systems Science,Academia Sinica,Beijing,China
基金项目:The work is supported by the Science Fund R850020 of the Academia Sinica
摘    要:The necessary and sufficient conditions for a linear estimator of a linear estimable functionof regression coefficients in a general fixed effects linear model with the assumptions of normality to beadmissible in the class of all estimators under matrix liss function are given.For a general randomeffects or mixted effects linear model the necessary and sufficient conditions are obtained too.


ALL ADMISSIBLE LINEAR ESTIMATES OF REGRESSION COEFFICIENTS UNDER MATRIX LOSS
Wu Qiguang Chen Jianbao.ALL ADMISSIBLE LINEAR ESTIMATES OF REGRESSION COEFFICIENTS UNDER MATRIX LOSS[J].Journal of Systems Science and Complexity,1989(1).
Authors:Wu Qiguang Chen Jianbao
Abstract:The necessary and sufficient conditions for a linear estimator of a linear estimable function of regression coefficients in a general fixed effects linear model with the assumptions of normality to be admissible in the class of all estimators under matrix liss function are given.For a general random effects or mixted effects linear model the necessary and sufficient conditions are obtained too.
Keywords:Admissibility  matrix loss function  linear model  regression cofficients  linear estimator
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