9780691074573 - Should We Risk It?: Exploring Environmental, Health, and Technological Problem Solving de Kammen, Daniel M. (25 resultados)

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Like New. Reprint. Used - Like New.

Paperback. Condición: Very Good. Should We Risk It?: Exploring Environmental, Health, and Technological Problem Solving This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Soft cover. Condición: Very Good. Clean, uncracked softcover in very good condition; light curling/shelf wear.

Paperback. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Paperback. Condición: New. New inside and out! Clean & Crisp Pages w/No markings. Excellent book.(Fast Shipping!).

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780691074573.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. Seeks 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. Num Pages: 424 pages, 82 line illus., 77 tables. BIC Classification: GPQD; JFFR; MBNH2; RN; TB; TQ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 24. Weight in Grams: 571. . 2001. Reprint. Paperback. . . . .

Condición: New.

Paperback. Condición: New. 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.

paperback. Condición: New. In shrink wrap. Looks like an interesting title!

Condición: As New. Unread book in perfect condition.

Condición: New. Seeks 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. Num Pages: 424 pages, 82 line illus., 77 tables. BIC Classification: GPQD; JFFR; MBNH2; RN; TB; TQ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 24. Weight in Grams: 571. . 2001. Reprint. Paperback. . . . . Books ship from the US and Ireland.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Paperback. Condición: Brand New. reprint edition. 424 pages. 9.00x6.00x1.00 inches. In Stock.

Paperback. Condición: New. 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.

Paperback. Condición: Brand New. reprint edition. 424 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Seeks 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 asse.

Taschenbuch. Condición: Neu. Should We Risk It? | Exploring Environmental, Health, and Technological Problem Solving | Daniel M. Kammen (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2001 | Princeton University Press | EAN 9780691074573 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.