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Modeling phase involves the selection of the modeling technique and the estimation of model's parameters.
Probabilistic sensitivity analysis was conducted changing model's parameters.
These attributes are reflected in the mixture model's parameters.
The detailed information of the model's parameters are presented in the Additional file 1.
The one-slope model's parameters are determined for both nonfixed and fixed intercept.
The third step is the estimation of the conditioning model's parameters.
By considering three problem sizes as small, medium and large, the model's parameters are set.
Transitions between classes can be obtained through an ultra-slow modulation of the model's parameters.
The list of the model's parameters is provided in Table 2.
Table 2 depicts the calculated values of Langmuir and Freundlich model's parameters.
In this study, several methods were outlined for estimating the proposed model's parameters from panel data.
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