Robust estimation of measurement error covariance

Conventional indirect estimations of measurement error covariance are very sensitive to gross errors. A robust indirect algorithm based on Hampel's three-part redescending M-estimators is developed. Credible results can be achieved either with or without the presence of external causes. Two examples are provided to demonstrate the robustness of the proposed method.