
The purpose of this model is to allow an arbitrary cumulative or discrete distribution to be specified by entering values and probabilities in a Dashboard.

These two models simulate different aspects of the classic board game Risk.

A History Generator Element is used to model an Itoprocess random walk. The distribution of the future value is lognormal with mean and variance that both increase linearly with time.

Simple two state, continuous time Markov chain model which compares two theoretical probability distributions

This example shows how a vector of sampled values can be generated from a single distribution definition for Sampled, Cumulative and Discrete stochastics

This model demonstrates two different ways to index a data record for use in a GoldSim model, either sequentially or randomly.

This example shows how to define and sample vector discrete and cumulative distributions using (1) a vector uniform 01 stochastic to sample probability levels and (2) a script element to get the corresponding values.

For a Monte Carlo simulation, export statistical histories to Excel

This simple model simulates the classic Polya urn problem in which stones, either black or white, are randomly selected (with replacement and addition) from a pot.

The purpose of this model is to demonstrate time shifting historic data in a Time Series element. This type of model makes it easy to show summary statistics like exceedance probability of annual peak flow rate or mean annual flow rate.

Three different types of promotional campaigns are compared across a 180 day campaign period.

This model illustrate how conditional containers can be used to simulate projects.

Simple ECommerce, decisionmaking case study using GoldSim "whatif" simulation

This model simulates a Markov process that randomly switches between a wet state and a dry state to simulate rainfall given some key historic statistics.

This model presents a pond discharge versus pond capacity optimization problem.

This model illustrates one way in which GoldSim can be used to generate a stochastic precipitation record.

Monte Carlo Simulation of the Dam Breach algorithm to calculate risk of failure

This is a model that simulates the performance of a lunar base over its planned 20 year lifespan. It illustrates how GoldSim's Reliability Module can be use to carry out a probabilistic risk assessment of a complex system.

This is a model that simulates an unmanned scientific mission to another planet. It illustrates how GoldSim's Reliability Module can be used to carry out a probabilistic risk assessment of a complex system.

This model simulates ships entering the harbor where each ship carries a random number of containers.

Use the Reliability Module of GoldSim to calculate the failure modes of various components of a pumping station and water delivery system.