Robust Tikhonov Regularization Method and Its Applications
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Graphical Abstract
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Abstract
A robust Tikhonov regularization method is presented.The only difference between the robust regularization estimator and the classical one is that the original weight matrix of observations is substituted by the equivalent weight matrix.The influence function of the new robust regularization estimator shows that it can efficiently control the influence of the outliers.
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