On the basis of analyzing in the demand, transport, inventory and production in supply chain, the paper puts forward a random linear planning model solving supply chain optimization.
在对供应链中需求、运输、库存、产品生产分析的基础上，提出了一种解决厂家供应链整体优化的随机线性规划模型。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
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。
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