Minimax robust designs optimized for Least Squares remain asymptotically optimal for M-estimation with minor tuning constant adjustments, and are also robust against broad classes of error correlation.
A Comparative Study of Ro bust Designs for M- Estimated Regression Models
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Minimax Robust Designs for M-Estimated Models
Minimax robust designs optimized for Least Squares remain asymptotically optimal for M-estimation with minor tuning constant adjustments, and are also robust against broad classes of error correlation.