方法将经典的稳健m估计方法引入广义可加模型。
Methods We introduce the classical robust estimation to generalized additive models.
结论在离群点存在时对广义可加模型进行稳健估计是必要的。
Conclusion it is necessary to carry out robust estimation to generalized additive models when there are outliers in data.
目的针对大气污染与健康关系研究中拟合广义可加模型时的离群点进行诊断并试图减小其影响。
Objective in studying the effects of air pollution on human health we use generalized additive models and diagnose the outliers then try to diminish the effect of them.
目的：针对大气污染与健康关系研究中拟合广义可加模型时的共曲线性现象进行研究并试图减小其影响。
AIM: To explore the effect of concurvity of generalized additive models (GAMs) in the study of air pollution and human health and to diminish the influence of concurvity.
目的：针对大气污染与健康关系研究中拟合广义可加模型时的共曲线性现象进行研究并试图减小其影响。
AIM: To explore the effect of concurvity of generalized additive models (GAMs) in the study of air pollution and human health and to diminish the influence of concurvity.
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