Returns key event statistics for the specified terrorism scenario analysis result.
The required analysisId path parameter identifies the ID of a non-EP analysis computed using the Terrorism Scenario Model (TSM).
A non-EP analysis is a deterministic analysis based on a specified set of events. Non-EP statistics include stdDev, meanLoss, and cv:
| Code | Definition |
|---|---|
cv | For non-EP analysis, the coefficient of variation is calculated by dividing stdDev of the event losses by the `meanLoss. Event CV provides a basis for assessing the relative uncertainty in the mean estimate of a loss, such as between perspectives or portfolios. |
meanLoss | The mean loss represents the expected loss for an event for the corresponding position or financial perspective. |
stdDev | The standard deviation of a meanLoss value characterizes the secondary uncertainty associated with that meanLoss value, that is, the uncertainty in an event loss, given that a certain event has occurred. |
The model profile used to compute the analysis must specify one of three analysis types: Scenario, Terrorism - Simple Footprint, or Spider-SDF.
Terrorism Scenario Model
The Terrorism Scenario Model (TSM) provides a deterministic approach to quantify loss from a range of potential attack modes, including conventional weapons (e.g., bomb, conflagration, aircraft impact) and chemical, biological, radiological, and nuclear (CBRN) attacks. TSM can be used to overlay an attack footprint on any geographic location worldwide to quantify losses to a portfolio, and takes into account the exposure as well as the vulnerability of the locations impacted by an attack.
For details see Probabilistic Terrorism Model Version 4.2.18 and
Terrorism Scenario Model Version 18
Target Databases.