Assessing Risks through the Determination of Rare Event Probabilities.

Abstract

We consider the problem in risk assessment of evaluating the probability of occurrence of rare, but potentially catastrophic, events. The lack of historical data due to the sheer novelty of the event makes conventional statistical approaches inappropriate. The problem is compounded by the complex multivariate dependencies that may exist across potential event sites. In order to evaluate the likelihood of one or more such catastrophic events occuring, we provide an information theoretic model for merging a decision maker's opinion with expert judgment. Also provided is a methodology for the reconciling of conflicting expert judgments. This merging approach is invariant to the decision maker's viewpoint in the limiting case of exceptionally rare events. These methods are applied to case studies in likelihood assessment of Liquid Natural Gas tanker spills and seismic induced light water nuclear reactor meltdowns. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA092192

Entities

People

  • Allan R. Sampson
  • Robert L. Smith

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Air Force
  • Case Studies
  • Data Analysis
  • Failure Mode And Effect Analysis
  • Geometry
  • Nuclear Power Plants
  • Nuclear Reactors
  • Probability
  • Probability Distributions
  • Random Variables
  • Reactor Accidents
  • Risk
  • Risk Analysis
  • Safety
  • Specifications
  • United States

Readers

  • Aviation Safety Risk Assessment.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.