Monte carlo simulation software free download

The goal of computing the simulation model is to obtain the distribution of the result variables. They depend either directly or indirectly, through one or more Excel formulae, on the random variables to which distributions have been associated and if available on the scenario variables.

Result variables correspond to outputs of the model.

Scenario variables allow to include in the simulation model a quantity that is fixed in the model, except during the tornado analysis where it can vary between two bounds.

At each iteration of the computation of the simulation model, a random draw is performed in each distribution that has been defined. For example, you can choose a triangular distribution if you have a quantity for which you know it can vary between two bounds, but with a value that is more likely (a mode). XLSTAT gives a choice of more than 20 distributions to describe the uncertainty on the values that a variable can take.

Distributions are associated to random variables.

Simulation models are used in many areas such as finance and insurance, medicine, oil and gas prospecting, accounting, or sales prediction.ДЇour elements are involved in the construction of a simulation model: XLSTAT allows you to define the distributions, and then obtain through simulations an empirical distribution of the input and output variables as well as the corresponding statistics. If some resultВ variables depend of these distributedВ variables by the way of known or assumed formulae, then the resultВ variables will also have a distribution. Simulation models allow to obtain information, such as mean or median, on variables that do not have an exact value, but for which we can know, assume or compute a distribution. The simulation methods available in XLSTAT are Monte Carlo and Latin Hypercubes.

Monte carlo simulation software free download