Under the matrix loss, we find the best linearestimate class of the prediction index.
在矩阵损失下，找到预测指标的估计的最佳线性估计类。
2
We investigate the admissibility of the linearestimate 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。
3
The new algorithm is also used in parameter estimate, and the results of linearestimate and nonlinear estimate all show the effective of the improved algorithm.