Sentence examples for model comparisons the from inspiring English sources

In addition to the new ammonia oxidation data and related model comparisons, the present paper documents a state-of-the-art NOx sub-mechanism that can be used for a wide range of combustion calculations when added to, for example, baseline mechanisms involving hydrogen and hydrocarbon kinetics.

For model comparisons, the log-likelihood, Akaike and Bayes Information Criterions (AIC and BIC, respectively) are provided.

For model comparisons the Deviance Information Criterion (DIC) for mixed‐effects models based on the complete likelihood was used [ 18].

For model comparisons, the minimum value obtained of the objective function (MVOF), defined as minus twice the log likelihood, was used.

In both sets of model comparisons, the prior distributions for the intercepts and other coefficients were set as described previously, while the probability of the more complex model being true was set to 10%.

For more details of model comparison, the reader is referred to Thébault et al. 2015b.

Base and alternative results In addition to base model comparison, the alternative outcomes were compared with the real data.

This is because in Bayesian model comparison, the models can be different but the data must be the same.

For model comparison, the SuperPose server was used.

In model comparison, the model with saturable formation of dFdCTP had BIC slightly greater than the one with linear formation.

After model comparison, the model with linear formation of dFdCTP was selected over the model with saturable formation because of its lower BIC.