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Palisade 发布最新的风险分析软件 @Risk 5.0 
20080227
广州博脉 
全新的 @Risk 5.0 for Excel 是完全重新设计的。一个与 Excel 完全集成的并全新改造的界面，意味着你可以再也不离开你的电子表格。新的 @Risk Library 允许你将指定的可行发布和结果与小组中的其他人共享。你还能为非 @Risk 用户移除 @Risk 的功能。新的 RiskCompound 功能可以将保险以及其他模型的发布结合起来。而新的 Six Sigma 功能提供深度的优质分析。在模拟时，新的 Demo 模式实时更新图形和报告。新的完全可定制的图形、散点图、Tornado Mapped Value 图以及柱形图令将结果与其他人交流成为轻而易举的事。@Risk 5.0 的工业版还为不确定性优化集成了全新的 RISKOptimizer 5.0。 w_ww_._pomi_n_e_.__co__m_ @Risk 软件介绍请点击 这里 需要下载试用，请填写 产品咨询表 w__w_w._po_m__i_ne.c_o_m_
w_w_w_.p_o__m__in_e__.__c_o_m_ @Risk 5 的详细新特性如下： ww__w_.__p_o_m__i_ne_.c_om__ General The separate Model and Results Summary Windows of @RISK 4.0 and 4.5 are now integrated into the Excel window.
 New @RISK Settings toolbar in Excel provides quick access to simulation settings.
 Graphs of simulation results and inputs can link directly to the cells they reference in Excel with “callout” windows.
 Nearly all modeling operations can be performed via drag and drop or simple clicks on the toolbar.
 Navigate through Results in Excel with [Tab] Key to move through @RISK inputs and outputs in open workbooks, with graphs pointing at the cell where the input or output is located.
 Support for versions of Microsoft Excel through Excel 2007, including the larger worksheet size of Excel 2007.
 All graphs and reports update live as a simulation runs
 Window selector allows tiling, minimizing, closing, activating etc. of all open @RISK windows
Model Window Distribution functions can be edited directly in the Model window
 Graph thumbnails in list graphically display input distributions
 Drag thumbnail graph off Model window to expand to fullsize graph
 Statistics shown in table can be customized
 Report of Model Definition in Excel includes graph thumbnails
 Inputs are organized by categories, with default categories made based on row or column names in workbook
 Clicking or tabbing on an input in the table moves to relevant cell in Excel and displays graph
Adding Outputs Existing outputs and output ranges may be edited or deleted directly over Excel
 Properties dialog can be used to enter property functions
Correlations Correlations between distributions are quickly defined in matrices that popup over Excel
 Dynamic scatter plots of correlated inputs graphically display correlated samples between two inputs
 Correlation coefficients in matrix can be adjusted using slider
 Correlation Matrices defined in the @RISK interface can be located anywhere in Excel, not just on the @RISK Correlations sheet
 Correlated Time Series with Instances can be quickly set up to correlate sets of similar distributions which each use the same matrix
 Scatter plot matrix shows correlations generated between inputs in a matrix after a run
Distribution Fitting Data sets for fitting now reside in Excel
 Up to 10 overlays of different fitted distribution in a single graph
 Fit Manager tracks multiple fitted data sets in a model
Define Distributions Window stays up as you move to different cells to define or edit @RISK distribution functions
 [Tab] Key moves through cells in open workbooks and worksheets with distribution functions
 Edit functions directly in formula or in argument panel
 Up to 10 overlays of different distribution functions
 Graph settings and overlays maintained when returning to define distribution for a cell
 Separate argument panels for graph and overlays.
 Context sensitive (F1) help for each distribution function type.
 Properties dialog can be used to enter property functions
Simulation and Sampling Demo mode updates Excel, graphs and reports every iteration
 Eight random number generators available
 Autostop maximum iterations now 50,000
 New progress window reports additional run statistics and allows changing settings during run
 New Performance Monitor for @RISK Accelerator multiCPU support
 Excel normal recalculation mode (standard or monte carlo) can be selected from the toolbar
 RiskStatic property function can store value to be returned from a distribution in a normal Excel recalculation
 lternatively mean, mode, median or a percentile can be returned from a distribution in a normal Excel recalculation
Convergence Monitoring New algorithm based on userdefined tolerance and confidence interval settings, or on mean, Std. deviation, or percentile.
 User selectable statistics to test during monitoring
 Can be applied globally for all outputs or individually by output using the RiskConvergence property function
Results Window Graph thumbnails in list graphically display simulated distributions
 Drag thumbnail graph off Results window to expand to fullsize graph
 Statistics shown in table can be customized
 Report of Results Window in Excel includes graph thumbnails
 Results window and thumbnail graphs update live as a simulation runs to show a “dashboard” of simulation results
 Clicking or tabbing on a result in the table moves to relevant cell in Excel and displays graph
Graphics  General New graphics engine, designed for processing simulation data, provides faster graphing and realtime animation of simulation results.
 Type Lower, Middle Range and Upper Delimiter Values directly on Graph
 Edit Titles directly on Graph
 User controllable number of delimiter bars for overlays
 Predefined and custom markers on graphs
 Extensive graph color and shading options
 Controllable number formatting on graphs
 Customizable statistics displayed in legend of graph
 Improved graphing of discrete distributions and data sets, including new RiskIsDiscrete property function
 Select overlays by clicking on cells to overlay in Excel
 Up to 10 overlays on a single graph
 Remove overlays by clicking on the entry in the legend
Scatter Plots Any pair of output results and/or sampled inputs can be placed in a scatter plot
 Overlay up to 10 scatter plots in a single chart
 X and Y values can be standardized
 User controllable Confidence Ellipse can be added
 Scatter plots can be generated in Excel as native Excel charts
Summary Graphs and Box Plots Any inputs or outputs (not just those in an output range) can be placed in a summary graph or box plot
 Box plot has user definable box and whisker settings
Sensitivity Analysis Pivoted Detailed Statistics report allows listings of larger numbers of inputs and outputs
 Regression – Mapped Values analysis type displays values, as opposed to coefficients, on bars
 Drag a bar from a Tornado Chart to show a scatter graph of values for a key input vs output
 Prescreening inputs based on their precedence in formulas to outputs in your model helps keeps erroneous inputs from appearing in results.
 Sensitivity Scatter Plot Matrix can be displayed, showing a matrix of scatter plots ranked by most important inputs
 RiskMakeInput function allows sensitivity impacts of multiple inputs to be captured in a single bar in a tornado chart
Filtering Filtering can be specified using percentiles as well as actual values
 Filtering available directly from a graph window
 Percentile filters update real time as data changes during a simulation
@RISK Library The @RISK Library provides a repository for sharing @RISK inputs and simulation results.
 Distributions to be shared can be entered directly in the Library or added from an @RISK model in Excel
 Revision history is provided for library distributions
 Results for different simulations stored in the library can be graphically compared
 Archived simulations, including workbooks simulated, can be reloaded into Excel
Function Swap Function Swap allows @RISK functions to be removed and restored from workbooks; easing the sharing of workbooks with non@RISK users.
 Value used to replace a swapped out distribution can be a user selected statistic from the distribution
 Model changes made when functions are swapped out are captured in the RiskStatic function
 Distributions swapped back in are placed in correct location in changed workbook
 Report on changes made to a swapped out model available
Data Reports Data from a simulation may be sorted to show key values you are interested in, including Error values
 Iterations from a previously run simulation may be stepped through, updating Excel with values sampled and results calculated.
Save Simulations Simulation Data and Graphs can be stored in the simulated workbook
 Simulation Data and Graphs, along with the simulated workbook, can be stored in the @RISK Library
Six Sigma Support 19 new statistics functions provide six sigma statistics in models
 LSL, USL and Target values set using new RiskSixSigma property function
 Results summary window displays six sigma statistics
 LSL, USL and Target values displayed with markers on graphs
 Six Sigma guide and help details how to develop six sigma models using @RISK
Clear Data Simulation results, settings, and/or all @RISK functions and information can be permanently removed from an Excel workbook
Application Settings Default settings for graphs, simulations, function swap, reporting and others are specified in a single location
 Standard settings can be shared between users with a custom configuration file
 Custom formatting of @RISK input and output cells, including color, font and borders
Excel Reports New standard headers and formatting
 Reports include graphics where applicable
 Ability to have more than one template sheet report.
Help and Tutorials Technical information on distribution functions integrated into help system
 Online tutorials and movies illustrate key concepts
Installation, Licensing and Updates New installer and licensing system
 Licenses may be moved to a new computer via the internet
 Automatic updating of installations with new releases and patches
Programmability and Macros New objectoriented API has hundreds of properties and methods for setting up and running simulations and generating results from VBA
 Intellisense pops up available arguments and constants when wrting programs that control @RISK
New and Enhanced @RISK Functions in Excel RiskCompound, used for “frequency / severity” modeling, takes two distributions to form a new input distribution. RiskCompound takes two arguments, each an @RISK distribution function or a reference to a formula in Excel that generates the frequency or severity value
 RiskTheo functions such as RiskTheoMean or RiskTheoPtoX return a desired statistic on an input probability distribution.
 @RISK statistics functions for simulation results (such as RiskMean) and RiskTheo functions can take an optional RiskTruncate function to specify a percentile or actual range over which statistics should be calculated.
 RiskSensitivity function returns sensitivity analysis results directly to your spreadsheet.
 A new set of 19 @RISK statistics functions (such as RiskCPK) return a desired Six Sigma statistic on a simulation output.
 RiskConvergenceLevel returns the convergence level of a simulation output
 RiskStopRun stops a simulation when an Excel formula returns TRUE
 RiskMakeInput specifies that the calculated value for a formula will be treated as a simulation input, in the same manner as a distribution function. This function allows the results of Excel calculations (or a combination of distribution functions) to be treated as a single “input” in a sensitivity analysis.
 RiskResultsGraph supports overlays and graphs of input probability distributions
New Property Functions for @RISK Outputs and Distribution Functions
 RiskUnits specifies units to use to label an input or output in graphs and reports
 RiskSeed specifies the seed and random number generator to use for an individual distribution function
 RiskConvergence specifies specific convergence monitoring settings for an output
 RiskSixSigma specifies LSL,USL and Target values for an output
 RiskIsDiscrete specifies that the data set to be generated for an output should be treated as a discrete distribution when graphing and calculating statistics
 RiskStatic specifies the value to be returned by a distribution function in a normal Excel recalculation and optionally will automatically store the value in a formula that was replaced by a distribution function
 RiskTruncateP specifies truncation limits for a distribution function using percentile values
 RiskCategory property function to help organize inputs into functional groups.
 RiskLibrary is used to attach an input in the model to a probability distribution in the @RISK Library.




