Sentence examples for deviance compared to from inspiring English sources

Results show that model 4, the four-dimensional model (see Table 1), is superior: it has lowest AIC, AICc, and BIC values, and the likelihood-ratio tests show statistically significant improvements in model deviance compared to both of the 2-dimensional models.

Results show that model 4, the eight-dimensional model (see Table 1), is superior: it has lowest AIC, AICc, and BIC values; and likelihood-ratio tests show statistically significant improvements in model deviance compared to both of the 2-dimensional models.

Sandelia and Pseudobarbus also had the highest explained deviance compared to Galaxias.

Components of variation between lines were greater for the BraRoAZ E2 lines (variance = 0.125) than for the control R-o-18 sib-linesnes (variance = 0.009, change in deviance compared to common variance = 40.4 on 1 df, P<0.001).

Similarly, variation between seeds within lines was greater for the BraRoAZ E2 lines (variance = 0.122) than for the control R-o-18 sib-linesnes (variance = 0.083, change in deviance compared to common variance = 40.4 on 1 df, P<0.001), and a subset of BraRoAZ E2 lines exhibited a much greater range of seed size.

Models with RDP exposures had smaller deviances compared to the models with only γ-ray doses (not shown), and addition of γ-ray dose term to the model with RDP exposures did not significantly improve the model fit (p=0.71 and 0.54, mortality and incidence, respectively, not shown), indicating that the observed increases in risks were primarily due to RDP exposures.

Table 1 shows that in this case the beta-binomial model outperforms the binomial model, that including random effects in the model for the stable class leads to a better fit, and that the latent class modelling produces consistently smaller global deviances compared to the one-class modelling.

After removing a non-significant interaction or variable, a new model was generated and only accepted if the removal did not significantly increase deviance comparing to the previous model after a F test (p>0.05) [37].

6, 9, 31, 32, 35– 42, 43, 45, 47, 47– 53, 54, 54 The random-effects Poisson regression model considered in our primary MTC analysis provides a reasonable fit to the data, as evidenced by the low residual deviance (67.61) compared to the unconstrained number of data points (62).

While this inference is supported by the reduction in residual error achieved by applying a generalized additive model [ 19] with a non-linear spline function (deviance = 1.44) compared to a linear regression (deviance = 2.19) between R t and lagged density, more data points are needed to verify the robustness of this claim.

However, neither the bam cluster nor any of the genes predicted to be involved in aromatics metabolism had significant deviance in composition compared to the rest of the genome.