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Both Collipriest and Priddle models fit the FCG rate data in a similar fashion.
The models fit the experimental data well, with only 39.2% of errors.
To answer this question, the team will examine which sorts of computer models fit the brain data best.
The challenge has been to combine its mathematical insights with the kinds of adjustments that are needed to make its models fit the economy's irreducibly human element.
The results showed that both Collipriest and Priddle models fit the FCGR data in a similar fashion.
It was shown that both GC and GP models fit the FCGR data in a similar fashion.
It is found that all the models fit the experimental data reasonably well for a given flotation system.
All inverted models fit the data within a root-mean-square (RMS) misfit of unity.
Theories apply only where and to the extent that their interpretive models fit the phenomena studied (Cartwright 1999).
Even when censoring data occur, the two models fit the data beyond detection limit approximately the same way.
Thus, according to these statistics, the MWG, XTGG and AWG models fit the current data better than their sub-models.
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