Sentence examples for variance from the model from inspiring English sources

Model fits and their 95% confidence intervals were computed using the function predictInterval specifying 1000 simulations for each observation, setting the point estimate to the mean of the simulated values and incorporating the residual variance from the model into the predictions.

Percent variance from the model was calculated on a per-codon or per model-class basis by calculating one minus the variance of the difference between the model and the observations divided by the variance of the observations.

A 90% confidence interval (CI) for the ratio of 'test' to 'reference' means was calculated using least squares estimates of the means and residual variance from the model.

Dropping non-additive genetic variance from the model resulted in a significantly higher χ statistic, of 194.60, a difference of 93.40.

The experimental structures share a high degree of similarity with the computational design (rmsd better than 1.1 Å), although the loop regions surrounding the catalytic site show significant variance from the model (70).

The percent of variation explained by the fixed effects in the model was estimated by comparing the estimated total variance from the fitted model to the estimated total variance from the model that specified no fixed effects [ 13], and residual plots were used to confirm that models did not violate analytic assumptions.

We used the approach of Snijder and Bosker [ 12] to calculate the coefficient of determination (R) as the proportional reduction in the estimated total residual variance from the null model to the model with predictors.

There's also some evidence to suggest that band options are determining the shipment variance from model to model.

The reproducibility of the equivalent stress values had considerable variance from model to model in some regions.

If the F-test comparing the residual variance from the full model to the residual variance from the reduced model (3) (where T is the total number of time points, p is the model order) was greater than tabular significance values, then the null hypothesis (y does not influence x) was rejected (Greene 2008).

In the reduced form of the univariate analysis we removed the sire variance component from the model, leaving the dam component in the model as the only source of variance.