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Exact(51)
All the parameters of model are constant. .
Therefore the parameters of model have to be fixed.
At first, we need to know time parameters of model.
The parameters of model were determined by regression analysis.
end{cases} (1) The meanings of parameters of model (1) are shown in Table 1.
Data collection and parameters are described in "Parameters of model" section.
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In this section, we perform the sensitivity analysis on the key parameters of Model-II, to study their effect on the inventory system.
Other fixed parameters of modelling are shown in Table 5.
A linear regression was used to obtain the parameters of models using Figs. 9 and 10.
The method provides more reasonable inference about the parameters of models for hemodynamic data assimilation.
They fitted generalized linear mixed models and estimated the parameters of models by a Bayesian Markov chain Monte Carlo method.
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