Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
The proposed models are validated by the standard error of estimate and observation versus estimation graph.
In case of model misspecification, the mean square error of estimate has been shown to be reduced by using the matching estimator, both for small-to-moderate sample sizes [ 35].
standard error of estimate.
ε = Error of Estimate.
We used the standard error of estimate (SE) for mean change as the criterion of precision.
In this study, the standard error of estimate was used to confirm the best fitting.
The standard error of estimate ((Sepsilon)) was determined using Eq. 3.
The conventional R2 value and standard error of estimate were 0.921, 0.238 respectively.
The regression equation with the highest accuracy was indicated by the lowest standard error of estimate (SEE).
Multiple R 0.960 Squared multiple R 0.921 Adjusted squared multiple R 0.779 Standard error of estimate 0.474.
The performances of these models were assessed through the determination coefficient (R2), F-ratio, standard error of estimate and root mean square error (RMSE).
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