<p>The robustification gap is displayed in (A), whereas (B) shows the corresponding objective values of the respective new designs (solid line) and the objective values of this design with re-estimated worst case parameters (dashed line). All values are plotted versus the corresponding iteration number.</p
<p>The y-axis shows the number of variants in the 95% (a) and 99% (b) likely credible sets. The boxp...
Experiments designed to investigate the effect of several factors on a process have wide application...
Number of TP and FP found in the different simulations for the unbalanced study design dataset.</p
<p>Bold lines are the model output post optimisation, grey lines are the unoptimised model output, w...
<p>Robustness values of segmentation methods for different implementations of Case 1 (using explicit...
<p>(A) Change in robustness, measured as the difference of the mean phenotypic distances between unp...
Comparison of non-zero maize production pixels between original and robustness test estimates.</p
<p>Average fold difference between ID<sub>50</sub> values calculated from robustness experiments tha...
<p>Results for first and second synthetically degraded datasets are presented in the first and secon...
A new robust design optimization method to automatically search multiple optimal solutions and to es...
This study compared the performance of a local and three robust optimality criteria in terms of the ...
<p>(A) The three panel illustrate the relatively shallow way in which the goodness-of-fit, , is degr...
<p>Experimental design showing the different interventions and points of measurement.</p
<p>Comparison of simulated results for the designed SSRR sensors with/without spurline filters after...
Response surface designs are generally used in process/product optimization studies. Sequential thir...
<p>The y-axis shows the number of variants in the 95% (a) and 99% (b) likely credible sets. The boxp...
Experiments designed to investigate the effect of several factors on a process have wide application...
Number of TP and FP found in the different simulations for the unbalanced study design dataset.</p
<p>Bold lines are the model output post optimisation, grey lines are the unoptimised model output, w...
<p>Robustness values of segmentation methods for different implementations of Case 1 (using explicit...
<p>(A) Change in robustness, measured as the difference of the mean phenotypic distances between unp...
Comparison of non-zero maize production pixels between original and robustness test estimates.</p
<p>Average fold difference between ID<sub>50</sub> values calculated from robustness experiments tha...
<p>Results for first and second synthetically degraded datasets are presented in the first and secon...
A new robust design optimization method to automatically search multiple optimal solutions and to es...
This study compared the performance of a local and three robust optimality criteria in terms of the ...
<p>(A) The three panel illustrate the relatively shallow way in which the goodness-of-fit, , is degr...
<p>Experimental design showing the different interventions and points of measurement.</p
<p>Comparison of simulated results for the designed SSRR sensors with/without spurline filters after...
Response surface designs are generally used in process/product optimization studies. Sequential thir...
<p>The y-axis shows the number of variants in the 95% (a) and 99% (b) likely credible sets. The boxp...
Experiments designed to investigate the effect of several factors on a process have wide application...
Number of TP and FP found in the different simulations for the unbalanced study design dataset.</p
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