Statistical dependence through common risk factors: with applications in uncertainty analysis
Journal Article
(2005)
Author(s)
JR van Dorp (TU Delft - OLD Operations Research and Risk Analysis)
Research Group
OLD Operations Research and Risk Analysis
DOI related publication
https://doi.org/10.1016/j.ejor.2003.06.028
To reference this document use:
https://resolver.tudelft.nl/uuid:0fd2c181-f3d9-4415-a67b-3bff1f7475bf
More Info
expand_more
expand_more
Publication Year
2005
Research Group
OLD Operations Research and Risk Analysis
Issue number
1
Volume number
161
Pages (from-to)
240-255
Abstract
A model for building statistical dependence between marginal distribution with bounded support is discussed. The model is geared towards elicitation of dependence parameters through expert judgment. The resulting joint distribution may be useful in uncertainty analyses where dependence between random variables with a bounded support is present due to common risk factors, such as, e.g., in the classical Project Evaluation and Review Technique.
Author Keywords: Uncertainty modeling; Mixture of uniform distributions; Expert judgment
No files available
Metadata only record. There are no files for this record.