The multiple regression model is the most widely used vehicle for empirical analysis.
多元回归模型是实证分析中最广泛使用的工具。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
The model which combined Cobb-Douglas production function, multiple regression model and exponential smoothing model can improve the accuracy of fix and forecast by proper weighs.
通过赋予合理权重，将C-D生产函数模型、多元回归模型和指数平滑模型加权组合。
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