Sentence examples for the deviance of the from inspiring English sources

Mr. Hayes's lawyers are portraying their client as a klutzy but harmless criminal pushed by Mr. Komisarjevsky into the deviance of the Cheshire crime, which ended with the deaths of a mother and her two daughters.

d, True-positive rates (for which a priori known essential genes are counted as positive) when considering the genes that are depleted (fitness genes) in at least m cell lines (blue curve) as predictions and the deviance of the number of these genes from expectations (computed using the randomized data shown in c) for all possible values of m (red curve).

g, True-positive rates (for which a priori known essential genes are counted as positive) when considering the genes that are core fitness genes for at least k cancer types (blue curve) as predictions and the deviance of the number of these genes from expectation (computed using the randomized data shown in f; red curve).

The deviance of the four-dimensional model is lower regarding the two-dimensional model, but not significantly lower.

The DIC is a goodness of fit criterion which takes into account the deviance of the model, −2log(p y∣θ)), and a penalty for the model complexity, p D (Spielgelhalter et al. 2002).

The overdispersion parameter (c-hat) was calculated as the ratio between the mean deviance of simulated models and the deviance of the observed model [18].

The overall deviance was minimized for a potential threshold of 0.5 mg/m; however, the comparison between the deviance of that threshold model and the linear no-threshold model yields a p-value > 0.9, suggesting weak evidence for a threshold.

Table  2 shows the deviances of the different models used.

We compared the linear and spline models by computing the difference between the deviances of the fitted two models (Dominici et al. 2002; Samoli et al. 2005).

As an alternative way to compare the two approaches the linear and spline models we computed the difference between the deviances of the fitted models.

Whether the improvement model has significantly better fit can be tested by taking the differences between the deviances of the models.