Therefore, the NAKF-based model is preferred for automatic condition monitoring due to its appealing robustness to distinct gear states and arbitrary model initializations, whereas the EKF- and MEKF-based models are desirable when accurate time frequency representation is concerned.
Given the small number of substitutions that occur during the emergence of rapidly evolving pathogens, codon-based models are preferred over amino-acid based models because they do not discard synonymous substitutions.
An independent line of evidence, based on model selection, also indicated that intensity-based models are preferred over ratio-based models for the analysis of dual-color microarray data.
While such data misfits are difficult to compare given the changes to the input data, this model is preferred based on its better match to source fault geometry and the reduced constraint to inversion input parameters.
Zero-Inflated Negative Binomial (ZINB) Model is preferred to develop crash prediction model with significant variables.
The model with the lowest score, in this case the drift modulation model, is preferred.
A random slope for the time elapsed from the baseline was initially considered to account for subject-specific variability of lung function over time, but a random intercept-only model was preferred based on the likelihood ratio test comparing the two models.
A random slope for the time elapsed from the first visit for DNA methylation was initially considered to account for subject specific variability of methylation over time, but a random-intercept-only model was preferred based on the likelihood ratio test comparing the two models.
Although both the full and reduced models were a good fit to the data, the full model was preferred over the reduced model based on the likelihood ratio test and AIC.
The reversible two-tissue model was preferred in 75.8% of all segments, based on the Akaike information criterion.
This model was preferred over alternative models because it is based on the most extensive set of experimental data.
