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For this model sensitivity was 81% and specificity 39%.
Model sensitivity was explored using the more complete 1995 data set and found to be moderate.
Numerical sensitivity studies were done to minimize all possible uncertainties: domain size, iterative convergence, grid refinement, and turbulence model sensitivity was studied.
Using a cutoff of 0.05 in the two stage model, sensitivity was maintained at 79% but specificity was improved to 70%.
Model sensitivity was then assessed by comparing the DIC from best-fit model with the DIC value from fitting the same distributional model to the generated pseudodata.
Model sensitivity was calculated as the number of outbreak weeks with a signal divided by the total number of outbreak weeks.
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Traditionally, model sensitivity is evaluated for model parameters.
Moreover, model sensitivity is greater for perianth differentiation than for the other four characters considered in this study.
(2) The model sensitivity is much higher than the parameter sensitivity to the RMSEs.
Model sensitivity is established not only from a weld residual stress perspective, but also from an assessment of the post-weld plastic strain accumulated in the weldment.
The model sensitivity is assessed in terms of relative changes in the Soil Saturation Index (SSI), which is defined as the percentage of soil pore space filled by water.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com