v4.3 [Feb 7, 2012]
It includes a feature that allows you to select any generated scenario from your simulation run and reproduce it in your model. This lets you investigate any scenario in full that is of interest, or allows you to recreate an error in your model that would be hard to find otherwise.. It is also a very useful feature if you need to show where your simulation results came from, or demonstrate that a risk is being modeled correctly - for compliance with regulators, for example.
New in ModelRisk Version 4.3
More distributions
We have added 19 new distributions to the Professional and Industrial editions of ModelRisk. ModelRisk now features a total of distributions. This is the most extensive range of distributions found in any risk analysis software package on the market. We often get the question: “Why are so many distributions included within ModelRisk?”. The answer is simple: the 90/10 rule.
This principle states that 90% of ModelRisk users will only use 10% of the available distributions. But… it is always a different 10%. Engineering users will use a different set of distributions than users in pharmacy. Therefore, we have chosen our range of distributions very carefully to make sure every industry is represented.
The following distributions were added:
Burnt Finger Poisson
GEV
HypergeoD
HypergeoM
KernelCU
Lifetime2
Lifetime3
LifetimeExp
LogTriangle
LogUniform
Maxwell
NormalMix
NormalAlt
PoissonUniform
Skellam
SkewNormal
Slash
Weibull3
ZISkellam
Goto sample feature
ModelRisk now includes a feature that allows you to select any generated scenario from your simulation run and reproduce it in your model. This lets you investigate any scenario in full that is of interest, or allows you to recreate an error in your model that would be hard to find otherwise.. It is also a very useful feature if you need to show where your simulation results came from, or demonstrate that a risk is being modeled correctly - for compliance with regulators, for example.
Simulation statistics functions
Functions like VoseSimMean, that return the statistic of a nominated cell after a simulation run, now retain their values when you save and close the model. This means that you won't have to rerun the model the next time you open it to be able to see the values they take.
It was improved how the ModelRisk Results Viewer handles results data so you can now view, sort and filter simulation data results instantly no matter how large the simulation run. It was improved the order in which the ModelRisk Results Viewer exports the simulation data to spreadsheets, so inputs, outputs and series are easier to find and use.
