Description
Book SynopsisSeeks to unify disparate theories and methodologies connected with risk analysis for health, environmental, and technological problems. This book addresses specific problems, including order-of-magnitude estimation, dose-response calculations, exposure assessment, extrapolations and forecasts, fault-tree analysis, and more.
Trade Review"Daniel M. Kammen and David M. Hassenzahl have written a book that is essentially a well-annotated, comprehensive problem set for coursework or other training in risk assessment... [The authors] note that 'many people who ... must informally make decisions about risk ... learn the tools of the trade on the fly.' Should We Risk lt? goes a long way to provide training in problem solving for risk assessment."--Rebecca A. Efroymson, Endeavour "This book is highly recommended for those who practice risk analysis, and perhaps even more so, for those who earn their living making decisions based on risk analysis. It is especially recommended for anyone who wants to be provoked into thinking about the real world of the environment, health, and technology."--Jay Turim, Risk Analysis "Should We Risk It?, an exciting new text, explores the nature and the methods of risk analysis through a set of carefully selected, critically analyzed and clearly explained problems... [A] fascinating tour of the field."--John S. Evans, Science "This is a truly innovative and timely book that addresses the concepts of risk and its management from a problem-solving perspective... It leads the reader step-by-step through many of the dimensions of risk management."--Simon Gerrard, Environment
Table of ContentsPrefaceAcknowledgments1Introduction32Basic 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
