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The expanded models of Herbert's microbial kinetics allow us to optimize the bioreactor's performances with respects to the aeration rate and stirrer speed as the decision variables, where this optimisation is not possible using the original HMK model of microbial kinetics.
With some notable exceptions, patterns we have seen in previous separate analyses of these exposures remained in the expanded models.
The expanded models were derived and their performances tested on the same population, which can lead to overfitting as well as bias in estimating model performance.
The parameters included in the expanded models may also be confounded by each other, or may be correlated with one another.
Because there can be bias in estimating the performance of regression models that were built using the same measurements that we are predicting, the R, RMS, and relative RMS values for the expanded models were calculated as averages given by the jackknife method [ 14, 40].
We tried to reduce and characterize this problem by limiting the number of parameters allowed into the expanded models by using the AIC and SBC criteria and by presenting our R, RMS, and relative RMS errors as averages given by the jackknife method.
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First, we construct the counterfactual densities using the expanded model.
These benefits come from the expanded model of the operations of the enterprise.
The expanded model also uses foreign sourcing experience and foreign networking as determinants of market knowledge.
Table 9 shows the results of the Oaxaca decomposition analysis based on the expanded model.
The Structural Equation Model was used for testing the expanded model.
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