Correlated Inputs in Quantitative Risk Assessment: The Effects of Distributional Shape

Risk Analysis

Volumn 15, Issue 2, 1995, Pages 215-219

  Bukowski, John ^a   Korn, Leo ^b   Wartenberg, Daniel ^a  

^a RUTGERS ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

^b New Jersey Division of Science Research and Technology   (United States)

Author keywords

Correlated variables; distributing shape; Monte Carlo Simulation; uncertain analysis

Indexed keywords

ARTICLE; MODEL; RISK ASSESSMENT; RISK MANAGEMENT; SYSTEM ANALYSIS;

EID: 0029087019     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.1995.tb00315.x     Document Type: Article

References (13)

1. Statistical Distributions of Health Risks
2. A Monte Carlo Analysis of Health Risks from PCB‐Contaminated Mineral Oil Transformer Fires
3. Monte Carlo Techniques for Quantitative Uncertainty Analysis in Public Health Risk Assessment
4. Using Monte Carlo Simulations in Public Health Risk Assessments: Estimating and Presenting the Full Distribution of Risk
5. Uncertainties in Health‐Risk Assessment: An Integrated Case Study Based on Tetrachloroethylene in California Groundwater
6. Monte Carlo Techniques for Quantitative Uncertainty Analysis in Public Health Risk Assessments
7. Uncertainty in Cancer Risk Assessments
8. The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk
9. Pitfalls in Risk Calculations
10. Variability of Safe Dose Estimates When Using Complicated Models of the Carcinogenic Process