Nevertheless, simulated scenarios implementing a higher dispersal rate of stocked fish relative to wild individuals did not better fit the observed data than scenarios with equal dispersal rates for the two groups of individuals.
This model includes parameter selection from a large sample, depletion rate of remaining resources, constraint of oil reserves and cycle number determination, not only to better fit curves but to strengthen the forecast capacity of model.
However, the birth-death process will not necessarily always better fit the data just because it seems more biologically realistic than a simpler Yule model, especially for shallower divergence times (i.e. recent clades).
The key questions are thus empirical not logical: which assumptions better fit with what we know empirically about human learning, cultural diffusion, cultural variation, and human cooperation?
Wasn't there somebody else who better fit the bill?
They don't think of alternatives that better fit changing times.
The progression across the models shows not only better fit but also reveals later timing of peak quality of life.
Although the free-ratio model was not a better fit to the data than a single ω ratio for the entire NAT2 phylogeny (2Δln L = 27.52, P > 0.05), some branches did exhibit ω > 1 (branches c, d and e; Figure 5).
In this instance, although some branches did exhibit dN/dS >1, the free-ratio model was not a better fit to the data than a single dN/dS ratio for the entire IL4 phylogeny.
The obtained results suggested that Vito could achieve equivalent, if not better goodness of fit than standard methods, while being more robust (up to 11% higher success rates) and with faster (up to seven times) convergence rate.
