学习曲线理论说随着生产的产品数量翻倍，成本以可估的比率下降。
Learning curve theory states that as the quantity of items produced doubles, costs decrease at a predictable rate.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
利用矩阵的向量化方法，研究了带线性约束的增长曲线模型中可估函数的线性估计在非齐次线性估计类中可容许的充要条件。
In this thesis, the admissibility and general admissibility of linear estimators in growth curve model with respect to inequality restriction are considered.
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