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Table 4 shows that all the correlated factor models had good indices of goodness of fit.
The magazine found that most but not all newer models had good temperature control, although models with digital temperature settings typically were the best.
The mathematical models had good predictability because the deviation was less than 1% between the predicted value and measured value.
Results showed that both models had good correlations with experimental data and presented a very similar performance.
The comparison showed that the calculation results of the analytical and Timoshenko models had good agreement with the results of the experimental test and FE model.
The results showed all three models had good agreement with the experimental data, especially the NRTL-HOC and UNIQUAC-HOC models.
Similar(35)
The model had good calibration (goodness of fit P = 0.88).
The simulated models have good agreement with the experimental results.
The above information implies that the three models have good internal consistency.
The insignificant values of error showed that both the models have good extrapolation capabilities.
The results indicate that the proposed models have good accuracy for estimating design effort.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com