Exact(2)
Insofar as attrition is related to the variable that we are modelling, the parameters estimates if obtained by either of the methods discussed above will be biased.
In order to gain in generality in adsorption kinetic modelling, the parameters of the "best fitting" pseudo-second order model have been correlated to the main process variables (the dye initial concentration and the specific mass of CNTs).
Similar(58)
In linear models, the parameter equals 1.0.
However, in this model, the parameter estimate is turned around.
In this model the parameter s denotes the period of the seasonality.
The initial model and the model parameters before parameter estimation were derived from previous experimental and modeling results.
Thus, the final model included the parameter days in milk.
The estimation of the model parameters and the classification of the trajectories are performed jointly.
Combining these data with our model, the model parameters can be estimated by maximum likelihood calculation.
The model parameters of the estimated models.
The model parameters were the same as for the linear model according to (2.4).
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