Probabilistic uncertainty analysis

{
  "id": "MLC-T-ENV-022212",
  "term": "Probabilistic uncertainty analysis",
  "field": "Environment",
  "definition": "1. Technique that assigns a probability density function to each input parameter, then randomly selects values from each of the distributions and inserts them into the exposure equation. Repeated calculations produce a distribution of predicted values, reflecting the combined impact of variability in each input to the calculation. Monte Carlo is a common type of probabilistic Uncertainty analysis.\n\n2. Technique that assigns a probability density function to each input parameter, then randomly selects values from each of the distributions and inserts them into the exposure equation. Repeated calculations produce a distribution of predicted values, reflecting the combined impact of variability in each input to the calculation. Monte Carlo is a common type of probabilistic Uncertainty analysis. [EPA 1997]",
  "subject": "Health and safety",
  "references": [
    "Exposure Factors Handbook: Glossary; EPA 1997a",
    "Thesaurus of Terms Used in Microbial Risk Assessment"
  ],
  "url": "https://mlchart.com/terminology/environment/probabilistic-uncertainty-analysis/"
}