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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Warren-Hicks, William J., Hart, Andy
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, 2010.
Temas:
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.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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