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Nine species of regional and/or national conservation concern had distributions that fit one model considerably better than the others.
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A classic age-period-cohort model showed considerably better model fit, with a large and significant decline in model deviance (−20 078 with 178 fewer degrees of freedom, P<0.001, table 1) compared with using a combined breast cancer rate for all age groups, cohorts, and periods.
The new contamination model provides considerably better model fits to calibration observations of Abell 1795 and E0102-72.3 taken since the beginning of 2018, while not significantly affecting modeling results for previous observations of those sources, although there is some change in the contamination modeling retroactive to earlier in the mission.
However, based on real data from dairy cattle, VanRaden et al. [ 2] reported that the predictive ability of a nonlinear BLUP model (a heavy-tailed prior model) was considerably better than a linear BLUP model for fat percentage and protein percentage, while their predictive abilities were similar for 25 other traits.
The Es prediction model provides considerably better results in comparison with the model developed for Er.
It is observed that the results obtained using precise interference model are considerably better than that obtained by using the Gaussian model.
The reduced dimensional nonlinear MPC controller performs almost as well as the nonlinear MPC controller that is based on the original model and considerably better than the linear MPC controller.
The conducted experiments show that in general, the performance of the model is considerably better inside the domain than outside, and that this performance gain is not caused by chance due to the changed ligand/decoy ratio.
The diagnostic performance of the logistic regression model was considerably better than that for uCysC alone, with an AUC of 0.84; CI, 0.79 to 0.89 (Table 3).
Second, we observed that our identical prediction model performed considerably better for white blood samples on FH3, a completely independent set of FH patients and controls from the FH1 set.
The good news is that one group of models was considerably better than another, so at least there is something to learn from this.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com