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We generated 20 wild-type expression time series for each network as the basis for model estimation (see Figure 1F).
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Maximum-likelihood methods were used for model estimation.
Hence, we used the following procedure for model estimation.
Marginal likelihood (or Bayesian evidence) estimation is the basis for model evaluation and model selection, which is the key research content of the uncertainty quantification of groundwater model structure.
Zeigarnik's model provides a useful basis for modeling IA.
As an experimental basis for parameter estimation and model evaluation, permeability and rejection data in binary and ternary mixtures of toluene, n-hexane and 2-propanol for Starmem™122 from a previous publication is used.
Several methods for low order model estimation on the basis of closed-loop data exist in the literature, but fail to address the simultaneous estimation of low order noise models that are relevant in disturbance control problems.
Several methods for low-order approximate model estimation on the basis of closed-loop data exist in the literature, but fail to address the simultaneous estimation of low-order approximate models of both plant and disturbance dynamics.
The pretreatment design basis for the energy estimation model was taken from the National Renewable Energy Laboratory (NREL) dilute acid process [21].
A procedure for selecting parameters for identifiability analysis and parameter estimation and for the design of experiments as a basis for parameter estimation was described for a model of deammonification in biofilm systems.
In order to discount the values of outliers caused by, for example, wars, we used median errors rather than average errors as the basis for the estimation of the parameters of the scaled model.
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