Sentence examples for multiplicative components from inspiring English sources

By GEMANOVA the information in the data is compressed down to a few multiplicative components describing the main variation in the data including relevant interaction phenomena.

The study designs a methodology to separate the observed change in ratings into two multiplicative components: one associated with the deterioration of the banks' solvency itself and another associated with the change in the agencies' valuation criteria.

In previous work [ 6] the aeration type was modeled as a linear effect with both additive and multiplicative components.

14 This model provides the possibility of testing the additive and multiplicative components and then to reduce the model to the most appropriate one, either additive or multiplicative.

This model has the advantage of giving the possibility of testing the additive and multiplicative components and then to reduce the model to the most appropriate one.

The subpopulation specific disparities (rate effects) are further decomposed into direct (independent of birth weight) and indirect (potentially causal through birth weight) effects by factoring the subpopulation relative risks into direct and indirect multiplicative components.

The ε ij terms account for residual variation (interaction) not explained by the multiplicative component.

Particularly for age, the additive component became higher when age increased, whereas the inverse phenomenon was observed for the multiplicative component (even if it was nonsignificant).

We can explain this result by the fact that the value of the additive component was very small relative to the multiplicative component.

Although alternative additive-multiplicative models of risk could be developed by considering other functions for the multiplicative component (e.g. exp), we have focused on the expit function because of its mathematical advantages.

The omission of the multiplicative component (ie, if a pure additive model was used) led to an estimation of the additive component that might be biased, overestimating the effect of the covariate on excess mortality.