Should We Risk It? : : Exploring Environmental, Health, and Technological Problem Solving / / David M. Hassenzahl, Daniel M. Kammen.
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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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2018] ©1999 |
Year of Publication: | 2018 |
Language: | English |
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Kammen, Daniel M., author. aut http://id.loc.gov/vocabulary/relators/aut Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / David M. Hassenzahl, Daniel M. Kammen. Princeton, NJ : Princeton University Press, [2018] ©1999 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- Contents -- Preface -- Acknowledgments -- 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 -- Appendix A: Z-Scores -- Appendix B: Student's t-Test -- Appendix C: Chi-Squared Distribution -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Environmental policy Government policy. Environmental sciences Decision making. Health risk assessment. Risk assessment. SCIENCE / Environmental Science (see also Chemistry / Environmental). bisacsh Hassenzahl, David M., author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999 9783110442496 https://doi.org/10.1515/9780691188317?locatt=mode:legacy https://www.degruyter.com/isbn/9780691188317 Cover https://www.degruyter.com/cover/covers/9780691188317.jpg |
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English |
format |
eBook |
author |
Kammen, Daniel M., Kammen, Daniel M., Hassenzahl, David M., |
spellingShingle |
Kammen, Daniel M., Kammen, Daniel M., Hassenzahl, David M., Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / Frontmatter -- Contents -- Preface -- Acknowledgments -- 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 -- Appendix A: Z-Scores -- Appendix B: Student's t-Test -- Appendix C: Chi-Squared Distribution -- Index |
author_facet |
Kammen, Daniel M., Kammen, Daniel M., Hassenzahl, David M., Hassenzahl, David M., Hassenzahl, David M., |
author_variant |
d m k dm dmk d m k dm dmk d m h dm dmh |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Hassenzahl, David M., Hassenzahl, David M., |
author2_variant |
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author2_role |
VerfasserIn VerfasserIn |
author_sort |
Kammen, Daniel M., |
title |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / |
title_sub |
Exploring Environmental, Health, and Technological Problem Solving / |
title_full |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / David M. Hassenzahl, Daniel M. Kammen. |
title_fullStr |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / David M. Hassenzahl, Daniel M. Kammen. |
title_full_unstemmed |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / David M. Hassenzahl, Daniel M. Kammen. |
title_auth |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / |
title_alt |
Frontmatter -- Contents -- Preface -- Acknowledgments -- 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 -- Appendix A: Z-Scores -- Appendix B: Student's t-Test -- Appendix C: Chi-Squared Distribution -- Index |
title_new |
Should We Risk It? : |
title_sort |
should we risk it? : exploring environmental, health, and technological problem solving / |
publisher |
Princeton University Press, |
publishDate |
2018 |
physical |
1 online resource |
contents |
Frontmatter -- Contents -- Preface -- Acknowledgments -- 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 -- Appendix A: Z-Scores -- Appendix B: Student's t-Test -- Appendix C: Chi-Squared Distribution -- Index |
isbn |
9780691188317 9783110442496 |
url |
https://doi.org/10.1515/9780691188317?locatt=mode:legacy https://www.degruyter.com/isbn/9780691188317 https://www.degruyter.com/cover/covers/9780691188317.jpg |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
360 - Social problems & social services |
dewey-ones |
363 - Other social problems & services |
dewey-full |
363.7/02 |
dewey-sort |
3363.7 12 |
dewey-raw |
363.7/02 |
dewey-search |
363.7/02 |
doi_str_mv |
10.1515/9780691188317?locatt=mode:legacy |
oclc_num |
1076402388 |
work_keys_str_mv |
AT kammendanielm shouldweriskitexploringenvironmentalhealthandtechnologicalproblemsolving AT hassenzahldavidm shouldweriskitexploringenvironmentalhealthandtechnologicalproblemsolving |
status_str |
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ids_txt_mv |
(DE-B1597)501960 (OCoLC)1076402388 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999 |
is_hierarchy_title |
Should We Risk It? : Exploring Environmental, Health, and Technological Problem Solving / |
container_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999 |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
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1806143274581229568 |
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