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.
最后根据某市的广义成本参数估计值，利用该模型对发车频率进行了模拟，表明此模型可行。
Finally, this paper use some parameters of generalised cost, which coming from a city, to simulate this model, and the result shows it is feasible.
结果按照实例模型进行模拟数据，参数估计与原模型几乎一致。
Results to simulate data according to the case model, and parameter estimates are nearly consistent with the primary model.
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