Your English writing platform
Discover LudwigExact(29)
The 'exact' joint confidence region appears to be strongly unsymmetrical.
The design criterion modifies the shape of the joint confidence hyperellipsoid, rather than its volume.
The 95% joint confidence limit was used to evaluate accuracy of the estimated reactivity ratios.
The MD-optimal design minimizes the volume of joint confidence regions of model parameters.
To assess the accuracy of analytical methods linear regression, elliptic joint confidence region (EJCR) was used.
The first aims at minimizing the volume of the joint confidence region associated with the parameter estimates.
Similar(31)
Applying the joint-confidence ellipse test, no significant difference at the 95% confidence level was observed.
An essential part of the solution procedure is the approximation of the joint-confidence region.
As in the classical approach to design of experiments, an essential part of the solution procedure is to approximate the resulting joint-confidence region.
We computed 95% joint-confidence regions for f s and f g.
In addition, in order to gain robustness against noise, we use the joint estimation confidence value during classification.
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