Dependence in Probabilistic Modeling, Dempster–Shafer Theory, and Probability Bounds Analysis

Oberkampf, W., Tucker, W., Zhang, J., Ginzburg, L., Berleant, D., Ferson, S., Hajagos, J., et al. (2004). Dependence in Probabilistic Modeling, Dempster–Shafer Theory, and Probability Bounds Analysis.

Type

Report

Intellectual base

Grey literature

Year

2004

DOI

10.2172/919189

Link

https://doi.org/10.2172/919189

Cited by

1 citation across 1 artifact.

Domain-specific

• Probability Bounds Analysis
  • Unknown dependence generally produces wider bounds than independence, and an unjustified independence assumption can create false precision.

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