| 1. | The effect of colinearity is to make the regression coefficients unreliable .
共线性的影响是使回归系数不可靠。 |
| 2. | Why does perfect collinearity matter
为什么完全共线性是个问题？ |
| 3. | Research on improvement of generalized ridge estimation in multicollinearity condition
复共线性条件下广义岭估计的改进 |
| 4. | This phenomenon is resulted from the collinearity between flow sensors
出现这种问题，主要是由于流量传感器之间的共线性造成的。 |
| 5. | Multicollinearity problems and their treatment in statistical studies of land use change
论土地利用变化统计分析中的多重共线性问题 |
| 6. | The problem of multivariate regression is resolved by ridge regression analysis , as there are multiple collinearity among the independent variables
摘要应用岭回归分析可以解决自变量之间存在复共线性时的回归问题。 |
| 7. | 3 、 mixed forecasting models include many explanation variables . the forecasting accuracy will be fail if there is linearity between variables
3 、由于预测模型中的解释变量较多,变量间若存在共线性会降低模型绩效。 |
| 8. | The method has the following advantages : deciding multi - collinearity , computing opposite degree of fitting , reducing frequency of regression , utilizing synthetically sample data etc
这种方法还具有能确定多重共线性、计算相对拟合度、减少回归次数、综合利用样本资料信息等有点。 |
| 9. | The results show that the minus value and fluctuation of unit hydrograph can be mitigated and the error of observed discharge can be withstood using the robustified ridge estimation
最后采用抗差岭估计来推算单位线，该方法既可以解决共线性的问题，也可以抗御粗差的影响，得到比较稳定的单位线。 |
| 10. | Then we adopted the cointegration and error correction model as the algorithm of the model , which can resolve the line association in independent variable from inverse demand or supply model without losing the variable
研究结果表明，该理论能够在不损失任何信息与变量的条件下，有效解决模型中的多重共线性问题。 |
