Should We Risk It?: Exploring Environmental, Health, and Technological Problem Solving / Edition 1
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Should We Risk It?: Exploring Environmental, Health, and Technological Problem Solving / Edition 1

by Daniel M. Kammen, David M. Hassenzahl
     
 

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ISBN-10: 0691074577

ISBN-13: 9780691074573

Pub. Date: 03/26/2001

Publisher: Princeton University Press

How dangerous is smoking? What are the risks of nuclear power or of climate change? What are the chances of dying on an airplane? More importantly, how do we use this information once we have it? The demand for risk analysts who are able to answer such questions has grown exponentially in recent years. Yet programs to train these analysts have not kept pace. In

Overview

How dangerous is smoking? What are the risks of nuclear power or of climate change? What are the chances of dying on an airplane? More importantly, how do we use this information once we have it? The demand for risk analysts who are able to answer such questions has grown exponentially in recent years. Yet programs to train these analysts have not kept pace. In this book, Daniel Kammen and David Hassenzahl address that problem. They draw together, organize, and seek to unify previously disparate theories and methodologies connected with risk analysis for health, environmental, and technological problems. They also provide a rich variety of case studies and worked problems, meeting the growing need for an up-to-date book suitable for teaching and individual learning.

The specific problems addressed in the book include order-of-magnitude estimation, dose-response calculations, exposure assessment, extrapolations and forecasts based on experimental or natural data, modeling and the problems of complexity in models, fault-tree analysis, managing and estimating uncertainty, and social theories of risk and risk communication. The authors cover basic and intermediate statistics, as well as Monte Carlo methods, Bayesian analysis, and various techniques of uncertainty and forecast evaluation. The volume's unique approach will appeal to a wide range of people in environmental science and studies, health care, and engineering, as well as to policy makers confronted by the increasing number of decisions requiring risk and cost/benefit analysis. Should We Risk It? will become a standard text in courses involving risk and decision analysis and in courses of applied statistics with a focus on environmental and technological issues.

Product Details

ISBN-13:
9780691074573
Publisher:
Princeton University Press
Publication date:
03/26/2001
Edition description:
Reprint
Pages:
424
Product dimensions:
6.10(w) x 9.10(h) x 1.00(d)

Table of Contents

Preface
Acknowledgments
1Introduction3
2Basic Models and Risk Problems31
3Review of Statistics for Risk Analysis83
4Uncertainty, Monte Carlo Methods, and Bayesian Analysis122
5Toxicology153
6Epidemiology199
7Exposure Assessment231
8Technological Risk266
9Decision Making304
10Risk Perception and Communication353
App. AZ-Scores393
App. BStudent's T-test395
App. CChi-Squared Distribution398
Index401

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