Sentence examples for deviance of the final from inspiring English sources

Although the deviance of the final model suggested that main effects fit very well the data (deviance = 1,481 with DF = 2,106; p = 1.00), we looked for additional two-way interaction effects using a backward selection.

Therefore, in those cases where we found an effect of the plot sex ratio treatment, we also analyzed the effect of brood sex ratio manipulation by including the deviance of the final experimental brood sex ratio from the final experimental plot sex ratio (referred to as the relative experimental brood sex ratio) while keeping the plot sex ratio treatment in the model.

To this end, we used the 5-degree-of-freedom (df) non-parametric LRT that compared the deviance of the final flexible model with that of the corresponding reduced flexible model, from which a given variable was completely eliminated (Abrahamowicz and MacKenzie, 2007).

Two models – specifically the deviances of the final fitted model and the fitted model with the individual term of interest removed – were compared to test the significance of individual terms in the log-linear model.

The deviance of the described final model was significantly lower than that of the null model (χ(df=62)=1712.303, p<0.001) and of a model without the group predictors (χ(df=31)=411.177, p<0.001).

Only roadless wilderness area was consistently statistically significant in all the models, explaining 51.7% (MCP), 38.9% (MLD), 36.1% (95%KHR), and 28.5% (50%KHR) of the deviance in the final models for each of those metrics which included only that covariate.

These indexes are given as follows: AIC = dev + 2 n p BIC = dev + log N · n p, where 'dev' represents the final deviance of the model, N the sample size, and np the number of parameters for model estimation.

McFadden R and deviance compare the final model (with all predictors) to a fully saturated model.

Once the most parsimonious main-effects model was identified, all two-factor interactions were introduced into the model and stepwise elimination of non-significant terms was undertaken (again based on the model deviance statistic) until the final model was obtained.

The appropriateness of the final model was assessed via the deviance.

We estimated model fit of the final LRM models using the percent adjusted deviance explained, which is a sample size-adjusted measure the goodness of fit of a GLM.