Model comparison indicates that the full Bayesian random parameters logistic regression approach is statistically superior to the standard logistic regression model.
Indeed, the model comparison indicates that the estimates would be equal if the SUV was acquired at t = 84 min after injection (comparison of the AUC of curve a to curve c in Figure 1).
Damaged versus intact model comparison indicates that the crack and corrosion damage will degenerate the ultimate loads of structure significantly, and they will induce the different failure modes of the damaged jackets with intact one.
Model comparisons indicated that selection was dominant, which is consistant with the fact that the allele is dominant for the carbonaria trait (although note that this does not imply that selection must act dominantly, since the allele may have pleiotropic effects).
Model comparisons indicate that the proposed model can reveal the essential relationships of wind power forecasting uncertainty, and describe the various dependences more accurately.
Model comparisons indicate strongest support for the full model, in which all parameters are allowed to vary.
Moreover, model comparison statistics indicated that the reported model performed at least as well as the alternative parsimonious model specifications.
In the case of the beef cattle dataset, the posterior estimate of transgenerational epigenetic variability was very low and a model comparison test indicated that a model that did not included it was the most plausible.
