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Frankly, based on experience from NAFTA, China and the Korean deal, the second, less-perky model seems much more realistic.
Convergence of marginal POR model seems much better than non-linear mixed model, when fitted to cell counts of incomplete matched groups.
However, for large values of L, the rate of convergence for the Moran model seems much slower than that for the WF model.
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The duplication-divergence model, on the other hand, seems much less compatible with these trends.
The test fit market seems much bigger than the 3D modeling one.
It seems much more artificial.
Everything seems much slower.
Now, that scenario seems much less likely.
It seems much more deadline-driven".
This seems much less reasonable.
"The new model seems to be much too complicated," he said.
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