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Functions for use in Monte Carlo simulation models
| Component | What the name means |
| Distribution | Generate a value from a probability distribution
| | PartialDependency | Generate a value from a probability distribution where there is a graphical partial dependency
| | DistCumulative | Generate a value from a specified cumulative probability distribution
| | DistUniform | Generate a value from a uniform probability distribution
| | DistTriangular | Generate a value from a triangular probability distribution
| | DistDoubleTri | Generate a value from a double triangular distribution
| | DistNormal | Generate a value from a normal probability distribution
| | DistLogNormal | Generate a value from a log-normal probability distribution
| | RandNum | Compute a semi random number
| | NRandom | Number of Random Number in Sequence
| | PickRandom | Pick a specific random number from a set of random numbers
| | DescribeDistType | Describes the value used for DistType
| | CumProb | Find the cumulative probability level for a given deviate value from a distribution
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- This family has the distribution functions you need for a Monte-Carlo simulation, such as DistUniform and DistNormalú, and the random number functions you may need as well, such as úRandomú.
- There are types of function for accessing a distribution. You can use functions specific for a distribution like úDistTriangleú, or you can also use a 'do everything' function like Distribution. Distribution is quite handy because if you want to change the type of distribution you have, you just change one parameter not the whole function.
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