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The modelling used an innovative methodology which included feedback from key stakeholders.
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The reaction rates were modeled using an Eddy-Dissipation Model.
Trip chaining was then modeled using an Ordered Probit model.
The subgrid problem is modeled using an algebraic approximation.
The experiments were modeled using an equilibrium stage approach.
Indoor concentrations of local traffic related fine particles were modelled using an infiltration model [ 17].
The AUC was modelled using a linear regression model.
Scattering effects are modelled using a local gradient shading model.
Peak broadening was modelled using a Lorentzian crystallite size term.
The inflation probabilities can be modelled using a multiple logistic.
Survival was modeled using a binomial error distribution.
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