Should we risk it? : exploring environmental, health, and technological problem solving
著者
書誌事項
Should we risk it? : exploring environmental, health, and technological problem solving
Princeton University Press, 2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
PrefaceAcknowledgments1Introduction32Basic Models and Risk Problems313Review of Statistics for Risk Analysis834Uncertainty, Monte Carlo Methods, and Bayesian Analysis1225Toxicology1536Epidemiology1997Exposure Assessment2318Technological Risk2669Decision Making30410Risk Perception and Communication353App. AZ-Scores393App. BStudent's T-test395App. CChi-Squared Distribution398Index401
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