<p>Summary of simulation parameters for base case, one-way sensitivity and multi-way monte carlo simulations.</p
<p>Summary of true attachment kernels used in the Monte Carlo simulation. There is a total of 16 dif...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Model parameters that have been included in the sensitivity analysis, their upper and lower bound...
<p>The parameters values are also provided whenever possible, depending on the specified parameter v...
Model parameters: Baseline values, ranges, and distributions for Monte Carlo sensitivity analysis.</...
Overview of parameters describing the environment and the agents, along with numerical values used i...
<p>Summary of the six simulations run, including all of the scale factors used.</p><p>Summary of the...
<p>Overview of known and unknown parameters in alternative (reduced error) simulation scenarios.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
<p>Description of model parameters and the corresponding values used in the numerical simulations.</...
List of parameter categories, and specific parameters, used in the analysis and simulations.</p
Top: fixed parameters held constant throughout the simulations. Bottom: variable parameters uses mor...
<p>Reactions, propensities and parameter values used for stochastic simulations.</p
Probabilistic Monte Carlo simulation results for base case and scenario analyses.</p
<p>MC Distribution is the sampling distribution of each parameter used in the Monte Carlo simulation...
<p>Summary of true attachment kernels used in the Monte Carlo simulation. There is a total of 16 dif...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Model parameters that have been included in the sensitivity analysis, their upper and lower bound...
<p>The parameters values are also provided whenever possible, depending on the specified parameter v...
Model parameters: Baseline values, ranges, and distributions for Monte Carlo sensitivity analysis.</...
Overview of parameters describing the environment and the agents, along with numerical values used i...
<p>Summary of the six simulations run, including all of the scale factors used.</p><p>Summary of the...
<p>Overview of known and unknown parameters in alternative (reduced error) simulation scenarios.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
<p>Description of model parameters and the corresponding values used in the numerical simulations.</...
List of parameter categories, and specific parameters, used in the analysis and simulations.</p
Top: fixed parameters held constant throughout the simulations. Bottom: variable parameters uses mor...
<p>Reactions, propensities and parameter values used for stochastic simulations.</p
Probabilistic Monte Carlo simulation results for base case and scenario analyses.</p
<p>MC Distribution is the sampling distribution of each parameter used in the Monte Carlo simulation...
<p>Summary of true attachment kernels used in the Monte Carlo simulation. There is a total of 16 dif...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Model parameters that have been included in the sensitivity analysis, their upper and lower bound...
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