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    @RISK for Excel - Industrial

    @RISK Industrial Includes Monte-Carlo simulation, distribution fitting, time-series fitting and optimization functionalities. New in version 8 is the ability to build efficient frontiers, use copulas and a host of usability enhancements.

    License Duration
    Your price: $2,275.25
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    Products specifications
    Min. OS Requirement Windows XP
    Language 6 languages (EN, FR, JP, ES, CN, KR)
    Add-In Requires Excel
    Available for Mac No, requires Parallels Emulation
    Price includes 1st year maintenance Yes
    Requires other Software? Requires Microsoft Excel to run
    Scripting Support Built In
    Simulation Monte Carlo
    VBA Support Built In
    CSV Support Yes
    XML Support Yes
    Distribution Fitting Built In
    User Defined Distributions Yes
    Distribution Gallery 48 base distributions (38 Continuous + 10 Discrete) with 20 that can have alternate parameters
    Monte Carlo Sampling Yes
    Latin HyperCube Sampling Yes
    Process Capability (6 Sigma) Yes
    Sensitivity Analysis Yes
    Tornado Analysis Yes
    Precision Control Yes
    Probability calculations functions Yes
    Correlation Yes
    Correlation Methods Normal Copula Only (Iman- Conover)
    SIP Math Support No
    Decision Trees Requires 3rd party option
    Stats Tools We recommend Palisade StatsTools
    MS Project Support Yes
    Charting Built In
    Charts can be customized Yes
    Automated Reporting Yes
    Multi-Core Support Yes
    Developper Kit Yes
    Example Models Yes
    Network Licensing Available Yes
    Data Base Integration 30+ Data Sources with CDATA Connectors
    Supported DBs Standard ODBC sources from Excel + 3rd party connectors
    User Defined Distribution Library Distributions can be generated and saved to an SQL or SQL Express DB and can be made available to other @RISK users who have access to the repository
    Time Series as distributions Yes
    Time Series Fitting Yes
    Time Series Methods 11 Methods (AutoRegression, GBM, Moving Average)
    Multiple Linear Regression Provided using Palisade StatTools
    Seasonal Methods Seasonal ARMA & GBM
    Non-Seasonal Methods AR(1&2), MA(1&2)
    GBM Support Univariate, Multivariate and Seasonal
    Cubic Spline No
    Heteroscedastic Models ARCH, GARCH11, EGARCH11 and APARCH11
    ARIMA Support Partial Support for ARMA
    AutoARIMA No
    Data Sensoring Automatic
    Time-Series Event Support No
    Define Time Series All available methods can be configured manually using parameters
    Markov Chains No
    Automatic Data Transform Yes
    Manual Data Transform Methods Yes
    Manual Deseasonalization Yes
    Manual Detrending Yes
    Visualize Simulated Output Yes
    Exception Reporting Yes
    Time Series Scenario Analysis No
    Error Measures No
    Time Series Fit Criteria Akaike and Baysean Information Criteria