Sentence examples for values of the deviance from inspiring English sources

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

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.

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.

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.

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).

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

While the strictly additive trend test EGT appears to be marginally preferable compared with the proportional odds trend test GTE, there is little information with which to choose between the 2 tests at low values of dominance deviance.

The model was evaluated by identifying influential observations (i.e. large values of Cook's distance) and outliers (i.e. large values of Pearson, deviance, or Anscombe residuals) using residual plots.

Analyses of 500 combinations of tree complexity (ranging from 3 to 7) and learning rate (ranging from 0.001 to 0.01) produced models with between 450 and 3900 trees whose values of predictive deviance ranged from 0.582 to 0.624.

Logistic regression in which HPV-type was stipulated as the sole independent variable accounted for 5.6% of the deviance (p-value = 0.02) and when age of diagnosis (transformed to square root) was the sole independent variable, it accounted for 7.4% of the deviance (p-value = 0.005).