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

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 yea...

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Hlavní autori: Kammen, Daniel M. (Autor), Hassenzahl, David M. (Autor)
Médium: E-kniha
Jazyk:English
Vydavateľské údaje: Princeton, NJ : Princeton University Press, 2018
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ISBN:9780691188317
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100 1 |a Kammen, Daniel M.,   |4 aut. 
245 1 0 |a Should We Risk It? :  |b Exploring Environmental, Health, and Technological Problem Solving /  |c David M. Hassenzahl, Daniel M. Kammen. 
260 |a Princeton, NJ :   |b Princeton University Press,   |c 2018 
300 |a 1 online resource  
505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Acknowledgments --   |t 1. Introduction --   |t 2. Basic Models and Risk Problems --   |t 3. Review of Statistics for Risk Analysis --   |t 4. Uncertainty, Monte Carlo Methods, and Bayesian Analysis --   |t 5. Toxicology --   |t 6. Epidemiology --   |t 7. Exposure Assessment --   |t 8. Technological Risk --   |t 9. Decision Making --   |t 10. Risk Perception and Communication --   |t Appendix A: Z-Scores --   |t Appendix B: Student's t-Test --   |t Appendix C: Chi-Squared Distribution --   |t Index 
516 |a text file PDF 
520 |a 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. 
650 0 |a Environmental policy  |x Government policy. 
650 0 |a Environmental sciences  |x Decision making. 
650 0 |a Health risk assessment. 
650 0 |a Risk assessment. 
650 7 |a SCIENCE / Environmental Science (see also Chemistry / Environmental).  |2 bisacsh 
653 |a životné prostredie 
700 1 |a Hassenzahl, David M.,   |4 aut. 
856 4 0 |u http://hanproxy.cvtisr.sk/han/cvti-ebook-degruyter-isbn-9780691188317  |y Vzdialený prístup pre registrovaných používateľov 
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