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The s-GWR model performance was low (R2 = 0.45) and its residuals did not show autocorrelation (Moran's I = −0.001; z-score = 0.003 and p-value = 0.997) indicating that the model was correctly spelled.
Most of the residues involved in intermolecular interaction are well covered by the electron density, indicating the model was correctly built (Fig. S2).
Thus, the imputation model was correctly specified for Z2 normally distributed but misspecified for Z2 log-normally or uniformly distributed.
All estimated loadings were significant (p < 0.001), the sign obtained was as expected, and the model was correctly identified.
Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly specified.
We ran a series of diagnostic tests to ensure the model was correctly specified, to check for goodness of fit, multicollinearity and heteroskedasticity.
Similar(51)
Which model is correctly shaded to show the rectangle?
External validation series were used to validate the model; the 91.8% containing 85 compounds, not considered to fit the model, were correctly classified.
The results show that peak frequency to achieve the maximum electrothermal flow, underestimated by the classical model is correctly predicted by the present fully coupled model.
Dodds' modeling correctness criterion seems to be about two things: whether or not the model is correctly constructed in formal terms, and whether or not it covers the subject domain in an expected way.
The basic idea is to consider transformed data via the model-implied dynamic transition density, which should be independent and uniformly distributed if the continuous-time model is correctly specified.
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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