01010nam0 22002651i 450 UON0005519520231205102243.57320020107d1975 |0itac50 bachiHK||||p |||||Wan qing xiaoshuo shiA YingXianggangZhonghua Shuju1975190 p.21 cmLETTERATURA CINESENOVELLISTICADINASTIA QING (1644-1911)SAGGI CRITICIUONC018100FICNHong KongUONL000075CIN VI ACINA - LETTERATURA CLASSICA (FINO AL 1911)AA YingUONV035896652833Zhonghua ShujuUONV246029650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00055195SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI CIN VI A 302 N SI SA 95569 7 302 N Wan qing xiaoshuo shi1148284UNIOR03471nam 2200685Ia 450 991095785680332120200520144314.01-04-020408-20-429-13064-31-138-11481-21-4398-0735-310.1201/EBK1439807347 (CKB)2670000000032193(EBL)555719(OCoLC)652654248(SSID)ssj0000411986(PQKBManifestationID)11268564(PQKBTitleCode)TC0000411986(PQKBWorkID)10365598(PQKB)10280300(Au-PeEL)EBL555719(CaPaEBR)ebr10400631(CaONFJC)MIL693202(OCoLC)1287180343(FINmELB)ELB163604(MiAaPQ)EBC555719(EXLCZ)99267000000003219320090918d2010 uy 0engur|n|---|||||txtccrApplication of uncertainty analysis to ecological risk of pesticides /editors, William J. Warren-Hicks, Andy Hart1st ed.Boca Raton CRC Press20101 online resource (230 p.)Description based upon print version of record.1-322-61920-4 1-4398-0734-5 Includes bibliographical references and index.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 AnalysesChapter 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 coverWhile 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 thePesticidesEnvironmental aspectsMathematical modelsEcological risk assessmentProbabilitiesPesticidesEnvironmental aspectsMathematical models.Ecological risk assessment.Probabilities.577.27/9015118Warren-Hicks William1829497Hart Andy1956-1829498MiAaPQMiAaPQMiAaPQBOOK9910957856803321Application of uncertainty analysis to ecological risk of pesticides4398910UNINA