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In the second part, the trip aggregation results are combined with unit cost functions, emission factors and other uncertain and/or varying variables using a probabilistic simulation.
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Instead, it uses a probabilistic simulation model to generate data sets to compare with the empirical data.
Disease transmission is realised using a probabilistic transmission function, implemented by the simulation algorithm.
A multivariate sensitivity analysis was performed to determine uncertainty in health effect estimates and cost-effectiveness ratios, using a probabilistic modeling technique, known as Monte Carlo simulation.
The CADNA library enables one to estimate, using a probabilistic approach, round-off error propagation in any simulation program.
In our simulation we use a probabilistic information dissemination protocol, which is fully defined in Nekovee and Bogason's work [11].
The algorithm is based on two major steps that use a probabilistic solution discovery approach and Monte Carlo simulation to generate the quasi-optimal network designs.
In the simulations, we do not use a probabilistic description p ik for the state of a lineage (although this could be done).
In the decision-analytic part of the model, several of the outcomes modelled (i.e., pressures) were monetised and combined using probabilistic simulation.
Therefore, in order to deal with uncertainty, a probabilistic sensitivity analysis (PSA) was performed using a Monte Carlo simulation.
Probabilistic sensitivity analysis was performed using a Monte Carlo simulation to randomly sample each parameter [ 22].
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