A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
When a computer model is used to inform a decision, it is important to investigate any uncertainty in the model and determine how that uncertainty may impact on the decision. In Probabilistic Sensitivity Analysis, model users can investigate how various uncertain model inputs contribute to the uncertainty in the model output. However, much of the literature only focusses on output uncertainty as measured by variance; the decision problem itself is often ignored, even though uncertainty asdoi:10.1198/tech.2009.0014 fatcat:okoou4oudvgfhgr6fcahu2wg3y