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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Hardcover. Condition: Comme neuf. Edition 2010. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2010. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
Language: English
Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138114812 ISBN 13: 9781138114814
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Add to basketPaperback. Condition: Brand New. 228 pages. 9.21x6.14x0.87 inches. In Stock.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides (Environmental Chemistry & Toxicology)
Language: English
Published by CRC Press 2010-04-07, 2010
ISBN 10: 1439807345 ISBN 13: 9781439807347
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439807345 ISBN 13: 9781439807347
Condition: New. pp. xxxi + 192.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
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Application of Uncertainty Analysis to Ecological Risks of Pesticides (Environmental Chemistry & Toxicology)
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Add to basketHardcover. Condition: Brand New. 1st edition. 220 pages. 9.69x6.42x0.79 inches. In Stock.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -While 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 their appropriateness for general use. The book presents specific methods leading to probabilistic decisions concerning the registration and application of pesticides and includes case studies illustrating the application of statistical methods. The authors discuss Bayesian inference, first-order error analysis, first-order (non-hierarchical) Monte Carlo methods, second-order Bayesian and Monte Carlo methods, interval analysis, and probability bounds analysis. They then examine how these methods can be used in assessments for other environmental stressors and contaminants. There are many methods of analyzing variability and uncertainty and many ways of presenting the results. Inappropriate use of these methods leads to misleading results, and experts differ on what is appropriate. Disagreement about which methods are appropriate will result in wasted resources, conflict over findings, and reduced credibility with decision makers and the public. There is, therefore, a need to reach a consensus on how to choose and use appropriate methods, and to present this in the form of guidance for prospective users. Written in a clear and concise style, the book examines how to use probabilistic methods within a risk-based decision paradigm. 230 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. William J. Warren-Hicks, Andy HartWhile 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 growin.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - While 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 their appropriateness for general use. The book presents specific methods leading to probabilistic decisions concerning the registration and application of pesticides and includes case studies illustrating the application of statistical methods. The authors discuss Bayesian inference, first-order error analysis, first-order (non-hierarchical) Monte Carlo methods, second-order Bayesian and Monte Carlo methods, interval analysis, and probability bounds analysis. They then examine how these methods can be used in assessments for other environmental stressors and contaminants. There are many methods of analyzing variability and uncertainty and many ways of presenting the results. Inappropriate use of these methods leads to misleading results, and experts differ on what is appropriate. Disagreement about which methods are appropriate will result in wasted resources, conflict over findings, and reduced credibility with decision makers and the public. There is, therefore, a need to reach a consensus on how to choose and use appropriate methods, and to present this in the form of guidance for prospective users. Written in a clear and concise style, the book examines how to use probabilistic methods within a risk-based decision paradigm.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439807345 ISBN 13: 9781439807347
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Add to basketCondition: New. Print on Demand pp. xxxi + 192 46 Illus. This item is printed on demand.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439807345 ISBN 13: 9781439807347
Condition: New. PRINT ON DEMAND pp. xxxi + 192.
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Application of Uncertainty Analysis to Ecological Risks of Pesticides
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. William J. Warren-Hicks, Andy HartWhile 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 growin.
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Buch. Condition: Neu. Application of Uncertainty Analysis to Ecological Risks of Pesticides | William J. Warren-Hicks (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2010 | CRC Press | EAN 9781439807347 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Currently, ecological risk assessments for pesticides use largely deterministic methods, yet there is a growing trend from industries and governments toward more quantifiable results using probabilistic methods. Identifying which methods are most appropriate for pesticide assessment, this book explores their suitability as a common protocol for general use. The authors discuss classical and Bayesian approaches, various types of Monte Carlo analysis, first order error analysis, probability bounds analysis, interval analysis, and fuzzy mathematics. They then examine how these methods can be used in assessments for other environmental contaminants.
