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Classical approaches to variance/covariance estimations are very sensitive to outliers. In the present paper a robust approach, based on an M-estimator, is proposed. Monte Carlo simulations show that the strategy provides better results than conventional indirect methods under the presence of outliers. Two examples of application are provided, dealing with both uncorrelated and correlated errors.
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