Common elements of ModelRisk windows

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See also: ModelRisk functions and windows, Statistical descriptions of model outputs, Graphical descriptions of model outputs, Graphics, workflow and error handling in ModelRisk

Quickly jump to:

- Common fields and buttons
- Summary statistics table
- Preview graphs
- Errors

Certain elements appear in many ModelRisk windows. For example, a table with summary statistics; graphs; and fields like the output field.

This topic gives a more in-depth explanation about these elements and how to use them.

Fields and buttons - Output location, M/C, Generate, Help, OK, Cancel

MR_window_Bivariate_Copula_6.jpg

Most of the ModelRisk windows correspond to a VoseFunction (e.g. an aggregate distribution, sampled value from a spliced distribution, etc...) being inserted in one or more spreadsheet cells. The location where the VoseFunction is to be inserted in the spreadsheet, is specified in the Output Location field. The desired VoseFunction will be inserted upon pressing the OK button, after which the ModelRisk window closes.

MR_window_Extreme_Values_5.jpgPressing the Cancel button closes the window without modifying the spreadsheet in any way. Pressing the Esc keyboard button has the same effect.

The Generate button re-generates the random values for the preview graph(s) in the window.

With the M and C buttons you can switch between viewing the Probability Density (or Mass), or cumulative graphs of the distribution(s) shown.

MR_window_StopSum_6.jpg

Summary statistics table

MR_window_Select_Distribution_6.jpgDistributions and their properties play a central role in risk analysis modeling.

In all ModelRisk windows that have a function related to distributions (which many do), a table with summary statistics of the currently selected/loaded/previewed distribution is shown on the right. For ease of use, this table always contains the same elements, regardless of the specific ModelRisk window it is in. These elements are:

Location
- Mean
- Median
- Mode
- Min
- Max

Spread
- Standard deviation (St. dev.)
- Variance
- Coefficient of Variation (CofV)

Shape
- Skewness (S)
- Kurtosis (K)

Where it is relevant, the following statistics are shown as well:

Markers

Markers can be edited in the statistics pane. Use markers to see the x-values corresponding to percentiles, and vice versa. For example, the image shows what you see when setting the LowerX value to -1 and the UpperX  value to 1 for a normal(0,1):

image390.gif
- LowerX - the lower marker value (-infinity by default)
- UpperX - the Upper marker value (+infinity by default)
- LowerP - the Lower marker's  Percentile value (0 by default)
- UpperP - the Upper marker's Percentile value (1 by default)
- X Spread - the range between the markers, i.e. UpperX - LowerX
- P Spread - the percentile range between the markers, i.e. UpperP - LowerP

The marker settings shown in the image correspond to this PDF plot:

MR_window_Distribution_Details_2.jpg

Percentiles
The 1st, 5th, 25th, 50th, 75th, 95th and 99th percentiles are always shown. If the ModelRisk window is enlarged (by dragging its lower right corner), additional percentiles are shown.

Preview graphs

MR_window_Combined_3.jpgIn windows where distributions play a role, the PDF or PMF, CDF or both graphs are shown.

When you hold the mouse pointer above a graph, it comes "in focus" and all other visible elements are greyed out, for easily pointing somebody to a certain graph.

The graphs update dynamically according to the distribution's parameter values when these can be specified within the window.

On top of graphs are the graph toolbar buttons. Below is explained what you can do with the most important of these buttons. Note that these buttons are not necessarily all present in a given ModelRisk window.

Whenever a preview graph has boundaries (visualized by vertical lines), these can be dragged along the graph to change the corresponding boundary value.

By right-clicking anywhere in the graph area, you can quickly access many of the above through the context menu that pops up.

Errors

MR_window_Bivariate_Copula_4.jpgIn ModelRisk windows, a descriptive error message is shown in red when appropriate. For example, the bivariate copula requires an Alpha parameter between -35 and 36. If the currently chosen Alpha lies outside of this range, this will be pointed out in red. For more information about errors in ModelRisk, click here.

For general troubleshooting, also see the FAQ - Troubleshooting topic.