Sentence examples for modeling terms from inspiring English sources

Hence, in the next phase of SemPoD development, we are modeling terms from additional metadata standards included in the MIBBI project.

To decompose the variability attributable to model terms, mixed-effect models were fitted with the restricted maximum likelihood method.

PMRA shares a theoretical basis with BM25 in that both use Poisson distributions to model term frequencies.

Stepwise regression starts with no model terms.

Model terms were evaluated by the P value.

P value less than 0.05 indicates model terms are significant.

Values >0.1000 indicate the model terms are not significant.

Model terms with P > F less than 0.05 are significant.

Values of "Prob > F" <0.0500 indicate model terms are significant.

Regression study and ANOVA with a p < 0.05 indicate the significance of the model terms, and p values > 0.1 indicates the insignificant model terms.

The values of "prob > F" <0.05 indicate model terms are significant, where values >0.1 indicate the model terms are not significant.