【摘要】 采用稳健回归方法克服了最小二乘估计受异常样本点影响较大的弊病,该方法通过对不同的点施加不同的权重减少"异常点"作用,并据此建立加权的最小二乘估计,反复迭代以改进权重系数,直至权重系数之改变小于一定的允许误差,得到模型参数更加贴近实际值.案例研究表明,用稳健回归方法建立的数学模型避免了少数异常值干扰的影响,更加真实地反映了居民出行发生的变化趋势.更多还原

【Abstract】 This paper adopts robust regression to overcome the impacts that abnormal sample points have on least squares method,and model parameters are closer to reality.Actual case shows that the mathematical model established by using the robust regression method avoids the interference effects of some anomalous values,more truly reflects the changing trend of the residents travel and is a powerful tool in analyzing the residents travel trend.更多还原