This dialog lists the parameters included in the Sensitivity element, and allows you to assign custom names to them. You can also specify exactly how the original value of the parameter will be varied when the sensitivity is run. These settings apply to the sensitivities individually.
Label
The text used to identify an element in the Results program when selecting elements to draw on a graph and for labelling the subsequent graphs. If the Label is blank, the element name is used instead.
You can group a number of sensitivity parameters by giving them all the same Label. They will then be treated as a single group in the Results program.
There is also a global Label field which is just used within the Editor as an overall description for the model.
Default: none.
Type (2)
For a Sensitivity, this input controls how the value of a parameter is increased or decreased. By default, this change is calculated as a Proportion of the original value (by default 1%). By setting Type to Delta you can vary the value by a specified fixed amount (for example 10,000), or you can define the Absolute maximum or minimum values that the parameter will take.
See 9.4 Using sensitivities to identify critical model assumptions.
Default: Proportion.
Up
When the Type of a Sensitivity is set to Proportion, determines the proportion by which the value of a parameter is increased (e.g., 1%).
When Type is set to Delta, specifies the fixed amount by which the value of the parameter is increased (e.g., 10,000).
When Type is set to Absolute, specifies the maximum value of the parameter (e.g., 500,000).
See 9.4 Using sensitivities to identify critical model assumptions.
Default: Constant {0.00}.
Down
When the Type of a Sensitivity is set to Proportion, determines the proportion by which the value of a parameter is decreased (e.g., 1%).
When Type is set to Delta, specifies the fixed amount by which the value of the parameter is decreased (e.g., 10,000).
When Type is set to Absolute, specifies the minimum value of the parameter (e.g., 1000).
See 9.4 Using sensitivities to identify critical model assumptions.
Default: Constant {0.00}.