Setting Environmental Standards: The Statistical Approach to Handling Uncertainty and Variation, 1st Edition (Hardback) book cover

Setting Environmental Standards

The Statistical Approach to Handling Uncertainty and Variation, 1st Edition

By V Barnett, A. O'Hagan

Chapman and Hall/CRC

112 pages

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Hardback: 9780412826207
pub: 1997-05-15
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Description

Introducing a novel approach to setting environmental pollution standards that allow for proper treatment of uncertainty and variation, this book surveys the forms of standards and proposes a new kind of "statistically verifiable ideal standard."

Setting Environmental Standards includes:

  • a current analysis regarding the treatment of uncertainty and variation in environmental standard setting

  • a review of basic principles in standard setting, including costs, actions and effects, and benefits

  • examples where uncertainty and variation have been well-treated in current practice as well as examples where clear deficiencies are apparent

  • specific proposals for the future approach to setting environmental pollution standards - encompassing the anticipated elements of uncertainty and variability

    The issues discussed serve statisticians as well as those persons involved with environmental standards. Scientists in agencies responsible for setting standards, in organizations advising such agencies or working in industries subject to these standards, will find Setting Environmental Standards an invaluable reference.

  • Reviews

    "This book is a report prepared for and at the request of the Royal Commission on Environmental Pollution. The objective is to provide a critical review of the importance of, and the current status of treatment of, uncertainty and variation in environmental standard-setting…The book has six chapters and reflects the constructive and positive outcomes of the workshop."

    --T. Postelnicu, Zentralblatt Matt, Vol. 942

    "For environmental statisticians, the book will provide reinforcement of many of their own thoughts and initiatives, and, for other statisticians, it will provide an introduction to the topic in general…"

    --S. R. Esterby, Short Book Reviews, for ISI

    Table of Contents

    Introduction

    Setting Standards: Uncertainty and Variation

    Terminology

    Overview of Environmental Standard Setting

    Sources of Uncertainty and Variation

    Representation of Uncertainty

    Some Examples of Statistics at Work

    Probability and Statistics in Standard-Setting

    Basic Considerations in Setting Standards

    Outline of This Chapter

    Positioning a Standard

    Ideal and Realizable Standards

    Acknowledging Variation

    Statistically Verifiable Ideal Standards

    Multiple Standards

    Analyzing Costs and Benefits

    Current Approaches to Setting a Level

    Concluding Remarks

    The Pollutant-Effect Relationship and Other Links

    Links in the Chain

    Describing and Measuring the Pollutant-Effect Relationship

    Recent Major Reviews

    Selective Overview of Recently Published on Pollutant-Effect Relationships

    Some Current Less Formal Emphases for Analysing or Categorizing the Pollutant-Effect Relationship

    Summary

    Current and Developing Incorporation of Uncertainty and Variability in Standard-Setting

    Introduction

    Statistical Pollution Studies Linked to Standards Interests

    The Changing Scene: Attempts to Incorporate Statistical Arguments in the Setting of Standards

    Progression

    Current Standards: Examples

    The Extent to Which Uncertainty and Variation Are Considered

    Examples Where Quite Sophisticated Treatment of Uncertainty and Variation Is Employed

    Examples Which Pay No Regard for Uncertainty and Variation

    Summary

    Conclusions: The Current Situation and a Forward Look

    Broad Principles for Setting Sound Standards

    The Present Situation

    A Look Forward

    Overview

    Subject Categories

    BISAC Subject Codes/Headings:
    LAW034000
    LAW / Environmental
    MAT029000
    MATHEMATICS / Probability & Statistics / General