Application of nonlinear quantile regression in dam safety monitoring

Based on the superiority of the quantile regression model to the least square regression model in statistical analysis,the MM algorithm of parameters and the MM distance for influence measure in the statistical diagnostics were introduced into the statistical model for horizontal displacement of dams.An application example was presented.The results show that the quantile regression method is less influenced by the abnormal data,and its training and predicted results are superior to those of the least square regression method.The proposed method is feasible for the horizontal displacement of dam safety monitoring and may improve the prediction accuracy of relevant models.It can be employed to analyze the operation behaviors of dams.