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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。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
利用率点对模型参数估计的影响强弱，使用一种加权的线性回归模型参数估计算法。
Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.
作者提出一种更简便的预测方法——加权一元线性回归预测法。
The author proposed a simpler forecast method -weighting single regression linear return forecast method.
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