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Using coefficient of determination (r2) the accuracy of the model was determined.
A second-order polynomial model was determined by the multiple regression analysis of the experimental data.
The advanced model was determined through the commercial CFD program after several models were modified.
Using this method, the effect of different variables including key variables in the model was determined.
The optimal training parameter set for the model was determined by a two-step cross-validation.
The best fitting quadratic model was determined by regression and backward elimination.
Suitable habitat for the presence/absence model was determined by the number of grid cells where fishing probability was >0.5 for each month.
The statistical significance (P value) of the model was determined by measuring the percentage of generated surrogate data that are greater than the r(predicted, observed).
Calibration of the prognostic model was determined using a calibration curve.
AQP1 distribution in a polarized in vitro RPE model was determined with indirect immunofluorescence confocal microscopy.
This means the best-fit model was determined prevented from the non-uniqueness problem.
More suggestions(17)
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