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矩阵正态分布均值矩阵的可估函数的线性估计在线性估计类中的泛容许性
The admissible linear estimates of the mean matrix on the matrix-normal distribution
【摘要】 考虑以下问题 :设n×m随机矩阵Y有分布N(Θn×m ,σ2 (Vn×n Σm×m) ) ,0 <σ2 ≤ 1 ,即Y服从均值向量为Θ协方差矩阵为σ2 (Vn×n Σm×m)的多元正态分布 ,其中 (Θ ,σ2 )为未知参数 .类似覃红讨论均值矩阵Θ的可估函数SΘ的线性估计AY在线性估计类中的泛容许性 .称Y的分布为矩阵正态分布
【Abstract】 If n×m random matrix Y is disted according to N(Θ n×m,σ 2(V n×nΣ m×m)),that is Y has a multivariate normal distribution with the mean vector Θ and the corariarce matrix σ 2 (V n×nΣ m×m),where Θ n×m and σ 2 are unknown,V and Σ are known nonnegative definite matrix.Let SΘ be linerly estimable.The necessary and sufficient condition for a liner estimator of SΘ to be general admissble among linear estimators under the matrix loss function be obtained.
【关键词】 矩阵正态分布;
随机矩阵;
线性估计;
泛容许性;
【Key words】 matrix-normal distribution; random matrix; linear estimate; general admissibility;
【Key words】 matrix-normal distribution; random matrix; linear estimate; general admissibility;
- 【文献出处】 湖北大学学报(自然科学版) ,Journal of Hubei University(Natural Science Edition) , 编辑部邮箱 ,2002年01期
- 【分类号】O212.4
- 【下载频次】61