Sentence examples for equivalent predictions from inspiring English sources

No such equivalent predictions are forthcoming from "Intelligent Design" thinking.

Nearly equivalent predictions were obtained using monthly averages of parameters, reaffirming the temporal robustness of the dimensionless model.

However, once one brings in considerations of the interaction of drift and selection (see next section) it has been shown that the models do not give empirically equivalent predictions (Brandon and Nijhout 2006).

It can broadly be concluded that single- and multilocus models make equivalent predictions for families and twins.

Hence, instead of direct curve fitting, graphical analyses of the behavior of combinations of EC50 and Amax will give equivalent predictions.

More interestingly, the aforementioned benchmark revealed that all methods resulted in more or less equivalent predictions despite the fact that the number of free parameters varied widely between 5 and 40, reflecting the poor assessment of model over-fitting.

A positive or equivalent prediction in any category was recorded as a positive carcinogenicity prediction for the test chemical [38].

For the altitude subsystem, to avoid the causality contradiction, the original system is formulated into a new equivalent prediction model with strict-feedback form from which the virtual control is designed with error feedback and neural approximation via back-stepping.

Hence, using the serial founder effect model as a basis, Lycett and von Cramon-Taubadel [10] made the equivalent prediction that if the African Acheulean dispersal hypothesis is to be supported, then handaxe datasets should exhibit a decrease in within-assemblage variance with increased distance from sub-Saharan Africa.

Tolerance intervals are wider and provide larger estimates of LOD and LOQ compared to equivalent prediction intervals.

According to Table 11 three models SVR based on the markers of the group 8 of the database with QC showed equivalent prediction and accuracy, indicating a correlation averaging 0.80 with a standard deviation equal to 0.08.