Sentence examples for modelling the regression from inspiring English sources

In this multiplicative modelling, the regression coefficients are straightforward to interpret in terms of their interactions.

In contrast to other regression methods, GMR does not model the regression function directly, but models the joint probability of the data.

In a marginal model, the regression of the response on explanatory variables is modelled separately from the within-person correlation.

The mathematical model, the regression procedure and the results are here presented and discussed.

In both models, the regression vector contains two symmetric groups of non-zero coefficients.

To test the fit of the model, the regression equation and determination coefficient (R2) were evaluated (Table4).

As for the quality-based model, the regression coefficients are compared taking into account their confidence intervals.

The data were subjected to statistical analysis using a linear regression model; the regression equations and correlation coefficients are given in Table 3.

For comparing the models developed in this thesis with the previous models, the regression model Eq. 5 and the ANN model are used.

While with nPLS-2CV models, the regression coefficient ('reg') values were used for ranking.

In this last model, the regression effect of age was not statistically significant.