稳健回归分析(RRA)，就是这样一种相当常用与有效的数据驱动方法。
The robust regression analysis (RRA) is such one kind quite commonly used and the effective data actuation method.
方法采用基于MVT和LMS方法的一种稳健主成分回归方法来诊断异常点，并结合实例进行方法的对比。
Methods We introduce a robust principal component regression based on MVT and LMS to detect outliers, and compare methods using a practical example.
就这两类回归模型，从稳健统计的角度提出相应的稳健方法，并通过例子与现有的方法进行比较，说明所提方法的稳健性。
Based on robust statistics, robust approaches are represented for these fuzzy regression models, and are illustrated with several examples in order to show the robustness of the suggested approaches.
[目的]探讨一种基于秩次的稳健回归分析方法-R估计。
[Methods]The theory of Rank-based regression, its algorithm and the application were discussed.
[目的]探讨一种基于秩次的稳健回归分析方法-R估计。
[Methods]The theory of Rank-based regression, its algorithm and the application were discussed.
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