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F-tests showed that the diffusion data fitted the bi-exponential model significantly better than the mono-exponential model (F > 21.4, P < 0.010).

As can be noticed in Figure 9 (and confirmed by Pearson's test), the results of our simulations fit the full model significantly better than the corresponding Markovian approach.

Thus the likelihood ratio test (LRT) was used to test whether the data fit the branch-specific model significantly better than the one-ratio model [ 58].

A few genes have ω2 > 1 but the data do not fit the diversifying selection model significantly better than the null model, indicating that a site class under diversifying selection likely does not exist for these genes.

Note that β ≈ 1, and s < 1 for averaged values, and Prelec's model significantly better fit individual data than Simple hyperbola (p < 0.01, N = 20) Finally, we examined the correlation between the individuals' parameters for each probabilistic choice model and AUCs (Fig. 2).

As shown in Figure  1B, our simian primate dataset fit the two-ratio model significantly better than the one-ratio model, with the human, chimpanzee, and bonobo clade exhibiting a dN/dS of 1.78, while all other branches had a dN/dS of 0.59.

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Genes for which the M2a and M8 models significantly better were determined to be under positive selection.

Likelihood ratio tests revealed that the dataset fit the positive selection models significantly better than the null models (p < 0.05, Table  1).

or predicted from audio and video quality models (Pred).; : content-blind Q-based model, : content-aware Q-based model, : content-blind IF-based model, : content-aware IF-based model; in italic: the respective model performs significantly better than the corresponding basic model ; in bold: significantly better performing model between and.

Both the IHC based model and the combined model performed significantly better than the PET based model.

Of the two models without time variation in parameters, the interaction model fits significantly better than the baseline model without heterogeneous mixing between species.

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