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.
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.
说明了在非对称的二次损失函数下，也可以采用田口玄一减小质量损失的思想：先进行稳健性设计减小波动，再进行灵敏度设计减小偏差。
It's proved that using the above asymmetric loss function, Taguchi's ideas of parameter design still works: first reduce the variance, and then reduce the bias.
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