You could use a monte-carlo simulation. That is, if you have a distribution over the possible values of parameters for your model, you can randomly select from that distribution for each parameter many, many times, then apply the model to those point values, and aggregate the results.
This is done automatically for you in the program guesstimate.
You could use a monte-carlo simulation. That is, if you have a distribution over the possible values of parameters for your model, you can randomly select from that distribution for each parameter many, many times, then apply the model to those point values, and aggregate the results.
This is done automatically for you in the program guesstimate.