本文从共生理论这一新的视角审视授信额度的核定模型，从理论上解决了影响因素的多重共线性问题。
This paper uses symbiosis theory as a new perspective to examine the ratifying model for credit extension and solve in theory such multiple co-linear relationships.
并以此为基础，衍生出工具变量回归模型，在剔除了解释变量多重共线性的影响后，验证了结果的准确性。
Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.
为此，判断了影响负荷的经济因素之间存在的多重共线性，用偏最小二乘回归方法消除其共线性影响，并建立了预测模型。
The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.
同时，考虑到特质波动率和相关性这两个因素和一些影响市场收益率的因素相关，不加任何处理就引入定价模型，可能导致自变量之间的多重共线性。
At the same time, considering these two factors correlated with other factors that influence market return, there may be co-linearity in our regression equations if we ignore this phenomena.
同时，考虑到特质波动率和相关性这两个因素和一些影响市场收益率的因素相关，不加任何处理就引入定价模型，可能导致自变量之间的多重共线性。
At the same time, considering these two factors correlated with other factors that influence market return, there may be co-linearity in our regression equations if we ignore this phenomena.
应用推荐