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A resisting gross errors capability study of robust estimation of unary linear regression method

机译:一元线性回归方法鲁棒估计的抗重大错误能力研究

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Robust estimation methods are often used to eliminate or weaken the influences of gross errors on parameter estimation. However, different robust estimation methods may have different capabilities in eliminating or weakening gross errors. Taking unary linear regression as example, simulation experiments are used to compare 14 frequently used robust estimation methods. The current article summarizes the common characteristics and rules of the robust estimation methods. Finally, we confirm several relatively more efficient methods for unary linear regression.
机译:鲁棒的估计方法通常用于消除或减弱总误差对参数估计的影响。但是,不同的鲁棒估计方法在消除或减弱总体误差方面可能具有不同的功能。以一元线性回归为例,仿真实验用于比较14种常用的鲁棒估计方法。本文总结了鲁棒估计方法的共同特征和规则。最后,我们确认了几种相对更有效的一元线性回归方法。

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