Your English writing platform
Discover LudwigSuggestions(5)
Exact(59)
A useful way to reduce the model uncertainty is consensus modeling by averaging the outputs from multiple models [69 71].
This can lead to spurious conclusions when experimental and model uncertainty is not taken into account.
This paper considers the design of feedforward controllers when model uncertainty is present.
The model uncertainty is evaluated under both parametric and global representation.
Robustness and estimation accuracy with respect to model uncertainty is analyzed using L∞/L1 framework.
If formulas developed for steel are applied directly, the model uncertainty is unknown.
The model uncertainty is estimated by calibration with a fairly large set of case histories.
A two-stage design strategy for planning experiments in the face of model uncertainty is proposed.
The stationary response under contact model uncertainty is investigated and stability condition is analytically derived.
Model uncertainty is higher when rain gauges are sparse, as is often the case in practice.
Similar(1)
PLSR model uncertainty was estimated by jack-knifing33.
More suggestions(3)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com