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100   $a20180331d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aApplication of uncertainty analysis to ecological risk of pesticides /$feditors, William J. Warren-Hicks, Andy Hart
210  1$aBoca Raton :$cCRC Press,$d2010.
215   $a1 online resource (230 p.)
300   $aDescription based upon print version of record.
311   $a1-322-61920-4 
311   $a1-4398-0734-5 
320   $aIncludes bibliographical references and index.
327   $aFront 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
327   $aChapter 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
330   $aWhile current methods used in ecological risk assessments for pesticides are largely deterministic, probabilistic methods that aim to quantify variability and uncertainty in exposure and effects are attracting growing interest from industries and governments. Probabilistic methods offer more realistic and meaningful estimates of risk and hence, potentially, a better basis for decision-making. Application of Uncertainty Analysis to Ecological Risks of Pesticides examines the applicability of probabilistic methods for ecological risk assessment for pesticides and explores the
606   $aPesticides$xEnvironmental aspects$xMathematical models
606   $aEcological risk assessment
606   $aProbabilities
608   $aElectronic books.
615  0$aPesticides$xEnvironmental aspects$xMathematical models.
615  0$aEcological risk assessment.
615  0$aProbabilities.
676   $a577.27/9015118
701   $aWarren-Hicks$b William J$0934070
701   $aHart$b Andy$f1956-$0934071
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910459275803321
996   $aApplication of uncertainty analysis to ecological risk of pesticides$92103027
997   $aUNINA