Methods for Uncertainty Analysis: A Comparative Survey

Paul Baybutt

119 citations0/0 files storedRisk Analysis

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Risk and Safety Analysis Nuclear Engineering Thermal-Hydraulics Probabilistic and Robust Engineering Design

Abstract

This paper presents a survey and comparative evaluation of methods which have been developed for the determination of uncertainties in accident consequences and probabilities, for use in probabilistic risk assessment. The methods considered are: analytic techniques, Monte Carlo simulation, response surface approaches, differential sensitivity techniques, and evaluation of classical statistical confidence bounds. It is concluded that only the response surface and differential sensitivity approaches are sufficiently general and flexible for use as overall methods of uncertainty analysis in probabilistic risk assessment. The other methods considered, however, are very useful in particular problems.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 119 citations exist upstream.

References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment

Cited by

1992The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk 1997On the problem of model validation for predictive exposure assessments 2023Uncertainties and their treatment in the quantitative risk assessment of domino effects: Classification and review 1992Bayesian Methods for Model Uncertainty Analysis with Application to Future Sea Level Rise 1999Uncertainty analyses in fault trees and Bayesian networks using FORM/SORM methods 1996On the Selection of Distributions for Stochastic Variables 2013The ALARP principle in process safety 2020Basic Framework and Main Methods of Uncertainty Quantification

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.