Principles of Good Practice for the Use of Monte Carlo Techniques in Human Health and Ecological Risk Assessments
- 1 August 1994
- journal article
- Published by Wiley in Risk Analysis
- Vol. 14 (4), 477-481
- https://doi.org/10.1111/j.1539-6924.1994.tb00265.x
Abstract
We propose 14 principles of good practice to assist people in performing and reviewing probabilistic or Monte Carlo risk assessments, especially in the context of the federal and state statutes concerning chemicals in the environment. Monte Carlo risk assessments for hazardous waste sites that follow these principles will be easier to understand, will explicitly distinguish assumptions from data, and will consider and quantify effects that could otherwise lead to misinterpretation of the results. The proposed principles are neither mutually exclusive nor collectively exhaustive. We think and hope that these principles will evolve as new ideas arise and come into practice.Keywords
This publication has 6 references indexed in Scilit:
- The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of RiskRisk Analysis, 1992
- Sea-level rise or fall?Nature, 1992
- UncertaintyPublished by Cambridge University Press (CUP) ,1990
- Graphical Communication of Uncertain Quantities to Nontechnical PeopleRisk Analysis, 1987
- Elements of SimulationPublished by Springer Science and Business Media LLC ,1984
- Simulation and the Monte Carlo MethodWiley Series in Probability and Statistics, 1981