The phrase "a best model" is not correct in standard written English.
It is typically used incorrectly because "best" is a superlative adjective and should not be preceded by "a."
Example: "We have developed the best model for predicting outcomes in our research."
Alternatives: "the best model" or "an optimal model."
Therefore, a best model approach was devised.
The study shows that calibrations may be non-unique, and that finding a "best" model on the basis of the calibration fit may not be possible.
The experimental equilibrium data fitting to Langmuir, Freundlich, Tempkin and Dubinin Radushkevich models indicate that the Langmuir model is a best model for evaluation of adsorption behavior.
This work adopts predictive data-mining models to determine the relationship between basic design parameters of school buildings and their aseismic ability, and then proposes a best model for predicting the aseismic ability of school buildings.
He also used the effective medium theory (EMT) in two cases: (1) ellipsoid with inclusions of ice in all the volumes in an attempt to consider a best model for larger grains; (2) coated ellipsoids with a mantle of 50% of CO ice with a porosity degree of 50%.
A common procedure for identifying a "best" model is to first find the model with the lowest EPE value (see Figure 1), and then to select the smallest model with EPE within one standard error of the lowest EPE value [84].
This analysis showed that it was impossible to identify a single best model explaining IRF5 expression, but it was possible to define a range of best cis-regulatory models that were useful for assessing hypotheses.
We finally select a single "best" model for each method.
A single best model is developed in this study using all existing models, based on the concept of model averaging.
Whenever there was evidence for more than a single best model, we calculated multimodel average parameters.
For most cancers, a single best model can be accomplished upon the detection of the number of applicable mutational processes.
