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| List of DIST™ Certified Software |  |
The software packages below have been certified to comply with the
DIST™ Standard |
The first commercial software to support the DIST™ standard was Risk Solver from Frontline Systems. This package was also the first, and as of this date, the most powerful interactive Monte Carlo simulation package for Microsoft Excel. For simple simulations involving a few variables, it can perform 100,000 trials essentially instantly, as the user changes parameters in the model.
Frontline Systems is notable for having developed the Solver optimization application for Excel. Beyond Risk Solver, Frontlines proprietary Polymorphic Spreadsheet Interpreter (PSI) technology forms the foundation of a product line which includes a variety of powerful optimization engines, including those capable of performing stochastic optimization based on concurrently generated random variables or DISTs.
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XLSim 3 evolved from a simple Monte Carlo package developed for Decision Making with Insight, Dr. Sam Savage's Management Science text book and software. The latest version supports DIST-based interactive simulation for small (single sheet) models in Excel.
This package also enables the users of Oracle Crystal Ball and @Risk from Palisade Corp. to read and write DISTs. Distribution Strings generated in any environment may be shared with any other application that supports DISTs.
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Analytica is a commercial visual software package from Lumina Decision Systems, Inc. for creating, analyzing and communicating quantitative decision models. Analytica includes hierarchical influence diagrams for visual creation and view of models, intelligent arrays for management of multidimensional data, Monte Carlo simulation for analyzing risk and uncertainty, and a general modeling language. It is designed to enable the creation of models that are transparent, interpretable, extensible, and flexible. The design of Analytica is based on key ideas from the field of decision analysis.
Analytica encourages the explicit representation of uncertainty using probability distributions, and automatically propagates uncertainty to computed results using stochastic samples indexed by a shared Monte Carlo dimension. This can be viewed as a direct representation of SIPs and SLURPs. Analytica can handle much larger models and sample sizes than is possible in a spreadsheet, and its built-in functions now directly support the DIST standard. As a timing benchmark, DISTs of one million trials can be encoded or decoded in roughly 1/5th of a second.
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