The types of probability distributions provided by GoldSim are listed below.
The fields that appear in the Parameters section of the Stochastic dialog will change with the distribution type.
The required inputs for each of the distributions types are
summarized in the
Note: As a general rule, you should not specify the parameters of a distribution as a function of time, since GoldSim does automatically resample the distribution unless you specifically instruct GoldSim to do so.
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- Beta Distribution
- Generalized Beta Distribution
- BetaPERT Distribution
- Binomial Distribution
- Boolean Distribution
- Cumulative Distribution
- Discrete Distribution
- Exponential Distribution
- Externally-Defined Distribution
- Extreme Probability Distribution
- Extreme Value Distribution
- Gamma Distribution
- Log-Normal Distribution
- Negative Binomial Distribution
- Normal Distribution
- Pareto Distribution
- Pearson Type III Distribution
- Poisson Distribution
- Sampled Results Distribution
- Student’s t Distribution
- Triangular Distribution
- Uniform Distribution
- Weibull Distribution
Related topics…
- Applying Importance Sampling to a Stochastic Element
- Browser View of a Stochastic Element
- Controlling When a Stochastic Element is Sampled
- Correlating Stochastic Elements
- Creating a Stochastic Vector
- Customized Importance Sampling Using User-Defined Realization Weights
- Dynamically Revising Distributions Using Simulated Bayesian Updating
- Specialized Functions That Operate on Distributions
- Specifying a Deterministic Value for a Stochastic
- Specifying the Distribution for a Stochastic Element
- Stochastic Distribution Types
- Triggering a Stochastic