Performance of new proposed criteria in inferential procedures and robustness under missing observations

Abstract In this paper the performance in inferential procedure and robustness under missing observations for different optimal designs were studied. It is found that under parameter estimation, compound criteria shows similar results as standard criteria do. In respect of robustness under missing, compound criteria were equally robust considering average precision and more robust considering loss of efficiency and average maximum predicted variance. The future of optimal design lies in the application of compound criteria and careful consideration of the subjective weights will make it more compatible in practice.

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