In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
Abstract: Under the matrix loss function, the necessary and sufficient conditions of linear admissible estimates of nonestimatible parameter functions for a general linear model are obtained.
文摘：一般线性模型可估函数的可容许估计问题已有详细的讨论。对一般线性模型在矩阵损失下，得到了不可估函数的线性估计为可容许估计的充要条件。
We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.
本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。
The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.
本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.
本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
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