Principles of Good Practice for the Use of Monte Carlo Techniques in Human Health and Ecological Risk Assessments

Risk Analysis

Volumn 14, Issue 4, 1994, Pages 477-481

  Burmaster, David E ^a   Anderson, Paul D ^b  

^a Alceon Corporation   (United States)

^b Ogden Environmental and Energy Services   (United States)

Author keywords

Monte Carlo; Probabilistic risk assessment

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CALCULATION; ECOSYSTEM; HAZARDOUS WASTE; PROBABILITY; QUANTITATIVE DIAGNOSIS; RISK ASSESSMENT; SYSTEM ANALYSIS;

COMPUTER SIMULATION; DISEASE SUSCEPTIBILITY; ECOLOGY; ENVIRONMENTAL POLLUTION; HAZARDOUS WASTE; HEALTH; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NEOPLASMS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY;

EID: 0027967069     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.1994.tb00265.x     Document Type: Article

References (18)

1. Using Monte Carlo Simulations in Public Health Risk Assessments: Estimating and Presenting Full Distributions of Risk
2. Quantitative Analysis of Uncertainty and Variability in Environmental Policy Making
3. The Wheel of Fortune, The Science of Computing
4. An Introductory Guide to Uncertainty Analysis in Environmental and Health Risk Assessment
5. Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability
6. Graphical Communication of Uncertain Quantities to Nontechnical People
7. Evaluating the Reliability of Predictions Using Environmental Transfer Models
8. Sea‐Level Rise or Fall
9. The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating Population Distribution of Risk
10. Using Objective and Subjective Information to Develop Distributions for Probabilistic Exposure Assessment