In many systems, you may be uncertain about some of the input parameters. In such a case, GoldSim allows you to define these parameters as probability distributions. If at least one of the inputs to a model is a probability distribution A mathematical representation of the relative likelihood of a variable having certain specific values. It can be expressed as a PDF (or a PMF for discrete variables), CDF or CCDF., by definition, the outputs are probability distributions. (Basic concepts of probabilistic simulation are provided in Appendix A of the GoldSim User’s Guide.) Distribution results provide a way to view the final values of uncertain (probabilistic) outputs.
The summary display for a distribution result (the default display for an interactive result A result display that is shown in a modal window (i.e., windows that always retain the focus). Interactive results can be converted to modeless Result elements.) combines graphical and tabular information, and looks like this:
The chart display for a distribution expands the small chart provided in the upper right-hand corner of the summary display shown above.
Note that distribution charts can be viewed as probability density functions (PDFs), cumulative distribution functions (CDFs), or complementary cumulative distribution functions (CCDFs).
The table display for a distribution shows the final value for each realization A single model run within a Monte Carlo simulation. It represents one possible path the system could follow through time.:
