Application of uncertainty analysis to ecological risks of pesticides /

Identifies which methods are most appropriate for pesticide assessment and explores their appropriateness as a common suite for general use. This work discusses classical and Bayesian approaches, various types of Monte Carlo analysis, first order error analysis, probability bounds analysis, interval...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Autres auteurs: Warren-Hicks, William J., Hart, Andy
Format: Électronique eBook
Langue:Inglés
Publié: Boca Raton : CRC Press, 2010.
Sujets:
Pesticides > Environmental aspects > Mathematical models.
Environmental impact analysis.
Pesticides > Risk assessment.
Pesticides > Environmental aspects.
Environnement > Études d'impact.
Pesticides > Évaluation du risque.
environmental impact statements.
SCIENCE > Global Warming & Climate Change.
Environmental impact analysis
Pesticides > Environmental aspects
Pesticides > Environmental aspects > Mathematical models
Pesticides > Risk assessment
Bekämpningsmedel > miljöaspekter.
Accès en ligne:Texto completo
Table des matières:
  • Front cover; SETAC Publications; Contents; List of Figures; List of Tables; Foreword; Acknowledgments; About the Editors; Workshop Participants and Contributing Authors; Chapter 1. Introduction and Objectives; Chapter 2. Problem Formulation for Probabilistic Ecological Risk Assessments; Chapter 3. Issues Underlying the Selection of Distributions; Chapter 4. Monte Carlo, Bayesian Monte Carlo, and First-Order Error Analysis; Chapter 5. The Bayesian Vantage for Dealing with Uncertainty; Chapter 6. Bounding Uncertainty Analyses.
  • Chapter 7. Uncertainty Analysis Using Classical and Bayesian Hierarchical ModelsChapter 8. Interpreting and Communicating Risk and Uncertainty for Decision Making; Chapter 9. How to Detect and Avoid Pitfalls, Traps, and Swindles; Chapter 10. Conclusions; Glossary; Index; Back cover.

Documents similaires