Sentence examples for between the full models from inspiring English sources

Following the standard Aiken and West procedure [ 49], we conducted blocked multiple regressions and Chi-square tests to examine whether the difference in likelihood ratios between the full models including the interaction block (models -A2, -A3, -A4 and -B2, -B3, -B4 in Table  2) and the models without the interaction block (models -A1 and -B1 in Table  2) are statistically significant.

The third one follows from a multi-scaled approach with a numerical bridging between the full model near the boundary and a macroscopic model in the bulk.

However, even at the largest aperture and object height, the relative error between the full model and the paraxial model is less than 1% indicating that the first-order model can be accurately be used for these imaging situations.

We ran a power calculation based on the R-square difference between the full model vs. the three genetic variants (MC4R, TMEM18, SH2B1) using Statistical Analysis System SASS) 9.1.3 for Windows (Cary, NC, USA).

Simulation results showed excellent agreement in predicting the transient stresses between the full model and the 2-modes reduced model with vast reduction in computational time, i.e. around 90%.

The 11 coefficients with largest differences explain almost 90%% of total difference (2.54 versus 2.98 nT.yr −1 rms differences for the full model for B, with a correlation coefficient of 0.8 between the full model and that based on these 11 coefficients only).

The predictive power of each individual variable in the model was tested using ratio likelihood tests which computed a chi-square statistic based on the log likelihood difference between the full model and a reduced model that excluded that variable.

To test the hypothesis that heritability is significantly different from zero (Va>0), a likelihood-ratio test was performed as twice the difference in log-likelihoods between the full model mentioned above and the reduced model without random animal effects.

In addition, we specifically tested whether the confidence intervals around the genetic correlation differed from 1, by performing a LRT between the full model and a model where the genetic correlation was set at unity.

ΔDEV and Δ R are the difference in deviance and R between the full model and the model without the specific term.

We calculated the difference in AIC (ΔAIC) between the full model and each of the four linear models containing three factors each.