Problems of regression function estimate is a basic problem in statistical theory.
回归估计是统计学中基本问题之一。
The kernel estimate of nonparametric regression function has been researched recently.
非参数回归函数的核估计近年来已有了一些研究。
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。
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