1. Introduction -- 2. Basic Models and Risk Problems -- 3. Review of Statistics for Risk Analysis -- 4. Uncertainty, Monte Carlo Methods, and Bayesian Analysis -- 5. Toxicology -- 6. Epidemiology -- 7. Exposure Assessment -- 8. Technological Risk -- 9. Decision Making -- 10. Risk Perception and Communication -- App. A. Z-Scores -- App. B. Student's T-test -- App. C. Chi-Squared Distribution
Summary
"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."--Jacket
