矩阵损失下贝努利分布均值的线性估计可容许性。
Admissibility of linear estimators of Bernoulli distribution mean values under matrix loss.
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。
We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
The admissibility of non-homogeneous quadratic form estimate of variance on the growth curve model was studied under quadratic loss function.
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。
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.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
We study the admissibility of the quadratic estimate for error variance in two classes of growth curve model.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
We study the admissibility of the quadratic estimate for error variance in two classes of growth curve model.
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