A D-Optimal Sequential Calibration Design for Computer Models

The problem with computer model calibration by tuning the parameters associated models is significant in many engineering and scientific applications. Although several methods have been established to estimate parameters, research focusing on design of remains limited. Therefore, this paper proposes a sequential experiment based D-optimal criterion, which can efficiently tune while improving prediction ability calibrated model. Numerical comparisons simulated real data demonstrate efficiency proposed technique.