Application Uncertainty Analysis Ecological (28 results)

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  • Language: English

    Published by CRC Press (edition 1), 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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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.

  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by CRC Press, 2017

    1138114812 / 9781138114814

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  • Language: English

    Published by Taylor & Francis Ltd, 2017

    1138114812 / 9781138114814

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  • Language: English

    Published by CRC Press, 2017

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  • Language: English

    Published by CRC Press, 2017

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  • Language: English

    Published by CRC Press, 2017

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  • Language: English

    Published by Taylor & Francis, 2017

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    Paperback. Condition: Brand New. 228 pages. 9.21x6.14x0.87 inches. In Stock.

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    Language: English

    Published by CRC Press, 2017

    1138114812 / 9781138114814

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    Taschenbuch. Condition: Neu. Application of Uncertainty Analysis to Ecological Risks of Pesticides | William J. Warren-Hicks (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | CRC Press | EAN 9781138114814 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

  • Language: English

    Published by CRC Press, 2017

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  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by CRC Press, 2010

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  • Language: English

    Published by CRC Press, 2010

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  • Language: English

    Published by Taylor & Francis Group, 2010

    1439807345 / 9781439807347

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    Condition: New. pp. xxxi + 192.

  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by CRC Press, 2010

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  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

    Published by Taylor & Francis Group, 2010

    1439807345 / 9781439807347

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    Condition: New. pp. xxxi + 192.

  • Language: English

    Published by CRC Pr I Llc, 2009

    1439807345 / 9781439807347

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    Hardcover. Condition: Brand New. 1st edition. 220 pages. 9.69x6.42x0.79 inches. In Stock.

  • Language: English

    Published by CRC Press Mai 2017, 2017

    1138114812 / 9781138114814

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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.

  • Language: English

    Published by CRC Press, 2017

    1138114812 / 9781138114814

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    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.

  • Language: English

    Published by CRC Press, 2017

    1138114812 / 9781138114814

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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.

  • Language: English

    Published by Taylor & Francis Group, 2010

    1439807345 / 9781439807347

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    Condition: New. pp. xxxi + 192 46 Illus. This item is printed on demand.

  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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  • Language: English

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    Gebunden. 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.

  • Language: English

    Published by CRC Press, 2010

    1439807345 / 9781439807347

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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.