Title
Statistical dependence through common risk factors: With applications in uncertainty analysis
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.
Year
DOI
Venue
2005
10.1016/j.ejor.2003.06.028
European Journal of Operational Research
Keywords
Field
DocType
Uncertainty modeling,Mixture of uniform distributions,Expert judgment
Econometrics,Random variable,Joint probability distribution,Uniform distribution (continuous),Uncertainty analysis,Statistical model,Statistics,Mathematics,Program evaluation and review technique,Marginal distribution,Bounded function
Journal
Volume
Issue
ISSN
161
1
0377-2217
Citations 
PageRank 
References 
3
0.41
1
Authors
1
Name
Order
Citations
PageRank
J. René van Dorp111616.43