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Should We Risk it?: Exploring Environmental, Health and Technological Problem Solving


By: Daniel M Kammen and David M Hassenzahl

404 pages, 82 figs, 77 tabs

Princeton University Press

Paperback | May 2001 | #118355 | ISBN: 0691074577
Availability: Usually dispatched within 4 days Details
NHBS Special Offer Price: £36.71 £48.95 (Save £12.24) $51/€41 approx (ends 01/04/2018)
Hardback | Dec 1999 | #94766 | ISBN: 0691004269
Out of Print Details

About this book

Introduces basic and more advanced methods in a clear, evenhanded, and thought-provoking manner with specific reference to: 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.

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

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