Sentence examples for model coefficients have from inspiring English sources

The xCHAOS model coefficients have been derived using the Ørsted and CHAMP data including solar maximum and minimum conditions.

Abraham model coefficients have been determined for over 90 organic solvents and can be predicted for others [10].

Model coefficients have the expected sign, almost all of them being highly significant by the robust t-test.

On their own, the effect that the different model coefficients have on participation rates is difficult to interpret because they are expressed in logits.

This means they are assumed to be independent of the solar cycle phase and thus identical in the 1960s and the years 2000 2010, which is the time span from which the model coefficients have been derived.

In the PS09 model, the prediction-model coefficients have been revised on recent data; the model still includes all those subsets by using age, a transformation of ISS, GCS, gender, and Gender × Age interaction as predictors [ 9].

Since we employ a linear probability model, the coefficients have straightforward interpretations as the all-else-equal differences in the survival/employment probability between the actual category and the reference category.

For linear longitudinal models, regression coefficients have the same interpretation regardless of how the correlation is modeled.

In the Mahringer model, the multiplication coefficients have been decreased 16.6 and 32.8 %, power coefficients have been increased 91 and 207.2 %, and R 2 has been increased 11.9 and 3.2%% (average of 7.5%%) for CB and WA, respectively.

In the Trabert model, the multiplication coefficients have been increased 31 and 0.7 %, power coefficients have been decreased 41.4 and −8.6%% (increasing), but R 2 has not been changed for AR and GO, respectively (the Trabert model does not need to calibration for its the best performance in Iran).

In the RE model (1), the coefficients have the expected negative sign for all main effect dummies except HF2 and VAG2, but neither of these is significant.