Sentence examples for model comparisons are from inspiring English sources

To validate the proposed LES model comparisons are made with DNS data of a planar turbulent flame in homogenous isotropic turbulence and experimental data for an axisymmetric dump combustor.

The interpretation of the estimated position effects and model comparisons are explained.

Model comparisons are thus determined via these difference measures in that "models having Δ i ≤2 have substantial support (evidence), those in which 4≤Δ i ≤7 have considerably less support, and models having Δ i >10 have essentially no support" in comparison with the best model; see p. 70-71 of Burnham and Anderson (2002).

Cross-validation ensures that model comparisons are relevant and not due to over-fitting.

In this respect, discussions in model comparisons are based on the available data in this study.

Models and model comparisons are described and discussed in [ 27, 81– 81].

All model comparisons were performed with chi-square (χ 2) tests.

All parameter fits and model comparisons were performed by MCMC sampling with the GPstuff toolbox version 4.6 in MATLAB.

The problem of model comparisons is also considered.

Model comparisons were performed based on log-likelihood ratios, using the Akaike information criterion (AIC), and the Bayesian Information Criterion BICC).

Model comparisons were performed by a Bayes Factor analysis [43].