Sentence examples for value of the deviance from inspiring English sources

One simply computes as the average of D θ| y) over the posterior samples of θ, and as the value of the deviance at the average of the posterior samples of θ.

Goodness-of-fit of the final models were evaluated visually by comparing the estimated cumulative probability distributions from the negative binomial model to the observed cumulative probability distribution and comparing the value of the deviance factor statistic and the Pearson's chi-squared statistic to 1.

n ^ : Estimate of the number of diagnoses not reported to any source; N ^ : Estimate of the number of diagnoses; 95% CI: 95% confidence interval for N ^ ; df: number of degrees of freedom; G: deviance statistic; p: p-value of the deviance goodness-of-fit test; AIC: Akaike Information Criterion DICC: Draper Information Criterion.

Values of the deviance residual >2.5 were considered outliers and were excluded from the final analysis.

In all cases the p-values of the χ2 deviance tests were higher than 0.01, except for C1-Disseminated, C2-I, C2-II+, and C3-II+.

The calculation of AIC value includes the deviance, which is a measure for the accuracy of the model to describe the data and a penalty for the complexity of the model (i.e. the number of parameters).

When grouping all cohorts into a unique cohort group, the model with the significantly lowest value of residual deviance included length and age and their interaction.

We repeated for all threshold values and finally plotted the sums of the deviance versus the threshold values.

The value of the Pearson chi-square and deviance divided by the number of degrees of freedom was close to 1, which indicates that the fit of the model was adequate.

The Burnham model was found to adequately fit the data (bootstrapped P-value < 0.13; i.e. the observed model deviance for the model with full temporal variation corresponded to the 261st value of the 300 ranked simulated model deviances).

An overfit model will always have a higher value of adjusted deviance than a simpler model nested within it, but its predictive power to an independent sample will be lower because the model losses generality.