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Auteur : Grafiati

Publié le 14 mars 2023

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1

United States. Environmental Protection Agency. Office of the Administrator et United States. Environmental Protection Agency. Science Advisory Board, dir. Benefits and costs of Clean Air Act : Direct costs and uncertainty analysis. Washington, DC : U.S. Environmental Protection Agency, Office of the Administrator, Science Advisory Board, 2007.

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2

Aven, Terje, Piero Baraldi, Roger Flage et Enrico Zio, dir. Uncertainty in Risk Assessment. Chichester, United Kingdom : John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118763032.

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3

Riley, Karin, Peter Webley et Matthew Thompson, dir. Natural Hazard Uncertainty Assessment. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119028116.

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4

Lindén, Staffan. Assessment of GDP forecasts uncertainty. Brussels : European Commission, Directorate-General for Economic and Financial Affairs, 2003.

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5

Bradbury, A. Uncertainty in strategic environmental assessment. Oxford : Oxford Brookes University, 1993.

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6

Laboratories, Sandia National, Commission of the European Communities. et U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology., dir. Probabilistic accident consequence uncertainty analysis : Dispersion and deposition uncertainty assessment. Washington, DC : U.S. Nuclear Regulatory Commission, 1995.

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7

J, Goossens L. H., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology. et Commission of the European Communities., dir. Probabilistic accident consequence uncertainty analysis : Uncertainty assessment for internal dosimetry. Washington, DC : U.S. Nuclear Regulatory Commission, 1998.

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8

E, Haskin F., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Early health effects uncertainty assessment. Washington, DC : Division of Systems Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1997.

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9

J, Goossens L. H., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Uncertainty assessment for internal dosimetry. Washington, DC : Division of Systems Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.

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10

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology., Commission of the European Communities. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Dispersion and deposition uncertainty assessment. Washington, DC : U.S. Nuclear Regulatory Commission, 1995.

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11

E, Haskin F., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Early health effects uncertainty assessment. Washington, DC : Division of Systems Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1997.

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12

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology., Commission of the European Communities. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Dispersion and deposition uncertainty assessment. Washington, DC : U.S. Nuclear Regulatory Commission, 1995.

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13

J, Goossens L. H., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology. et Sandia National Laboratories, dir. Probabilistic accident consequence uncertainty analysis : Uncertainty assessment for internal dosimetry. Washington, DC : Division of Systems Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.

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14

P, Little M., U.S. Nuclear Regulatory Commission. et Commission of the European Communities., dir. Probabilistic accident consequence uncertainty analysis : Late health effects uncertainty assessment. Washington, D.C : U.S. Nuclear Regulatory Commission, 1997.

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15

Uncertainty in environmental health risk assessment. New York : Garland, 1990.

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16

S, Kushwaha H., et Bhabha Atomic Research Centre. Health, Safety & Environment Group., dir. Uncertainty modeling and analysis. Mumbai : Health, Safety & Environment Group, Bhabha Atomic Research Centre, 2009.

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17

Rougier, Jonathan, Steve Sparks et Lisa Hill, dir. Risk and Uncertainty Assessment for Natural Hazards. Cambridge : Cambridge University Press, 2013. http://dx.doi.org/10.1017/cbo9781139047562.

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18

World Health Organization (WHO). Uncertainty and data quality in exposure assessment. Geneva : World Health Organization, 2008.

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19

Rougier, Jonathan, Lisa J. Hill et R. S. J. Sparks. Risk and uncertainty assessment for natural hazards. New York : Cambridge University Press, 2013.

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20

McKay, Michael D. Evaluating prediction uncertainty. Washington, DC : The Commission, 1995.

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21

Inc, XAMonline, dir. ICTS 101-104 : APT : assessment of professional teaching : teacher certification exam. 2^e éd. Boston, Mass : XAMonline, Inc., 2007.

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22

J, Goossens L. H., Sandia National Laboratories, Commission of the European Communities. et U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Technology., dir. Probabilistic accident consequence uncertainty analysis : Uncertainty assessment for deposited material and external doses. Washington, DC : U.S. Nuclear Regulatory Commission, 1997.

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23

Shoaib, Nosherwan. Vector Network Analyzer (VNA) Measurements and Uncertainty Assessment. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44772-8.

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24

Vazirgiannis, Michalis, Maria Halkidi et Dimitrios Gunopulos. Uncertainty Handling and Quality Assessment in Data Mining. London : Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0031-7.

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25

Hilborn, Ray. Quantitative fisheries stock assessment : Choice, dynamics, and uncertainty. New York : Chapman and Hall, 1991.

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26

-T, Wu Y., U.S. Nuclear Regulatory Commission. Office of Nuclear Material Safety and Safeguards. Division of High-Level Waste Management. et Center for Nuclear Waste Regulatory Analyses (Southwest Research Institute), dir. Uncertainty evaluation methods for waste package performance assessment. Washington, DC : Division of High-Level Waste Management, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1991.

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27

Hilborn, Ray. Quantitative fisheries stock assessment : Choice, dynamics and uncertainty. Boston : Kluwer Academic Publishers, 2001.

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28

Hilborn, Ray. Quantitative fisheries stock assessment : Choice, dynamics, and uncertainty. New York : Chapman and Hall, 1992.

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29

Vazirgiannis, Michalis. Uncertainty Handling and Quality Assessment in Data Mining. London : Springer London, 2003.

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30

Carlo, Jaeger, dir. Risk, uncertainty, and rational action. London : Earthscan, 2001.

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31

Covello, Vincent T., Lester B. Lave, Alan Moghissi et V. R. R. Uppuluri, dir. Uncertainty in Risk Assessment, Risk Management, and Decision Making. Boston, MA : Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5317-1.

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32

Society for Risk Analysis International Workshop on Uncertainty in Risk Assessment, Risk Management, and Decision Making (1984 Knoxville, Tenn.). Uncertainty in risk assessment, risk management, and decision making. New York : Plenum Press, 1987.

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33

Kim, Lowell, Jaton Annick et International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (3rd : 1998 : Quebec City, Quebec), dir. Spatial accuracy assessment : Land information uncertainty in natural resources. Chelsea, Mich : Ann Arbor Press, 1999.

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34

Mavrotas, George. Uncertainty and private investment in developing countries : An assessment. Manchester : University ofManchester, School of Economic Studies, 1997.

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35

Risk and uncertainty in the art world. 2014.

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36

APT Assessment of Professional Teaching. XAM Inc., 2004.

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37

Smedley, Julia, Finlay Dick et Steven Sadhra. Principles of risk assessment and risk management. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199651627.003.0021.

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Introduction and terminology 416Conceptual model 417General principles 418Sources of scientific evidence and uncertainty 420Risk communication and perception 421Decisions in OH often entail a choice between two or more options, the comparative merits of which are not immediately obvious. The decision may be for an individual (e.g. whether to ground a pilot because of a health problem), for the whole of a workforce (e.g. whether to immunize HCWs against smallpox), or at a societal level (e.g. whether to permit the use of a pesticide). Risk management is the process by which decisions of this sort are made, following an assessment of the risks and benefits associated with each option. Depending on the nature of the decision, the process of risk assessment and management may be more or less formalized....

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38

Ambrus, Monika, Rosemary Rayfuse et Wouter Werner, dir. Risk and the Regulation of Uncertainty in International Law. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198795896.001.0001.

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Increasingly, international legal arrangements imagine future worlds, or create space for experts to articulate how the future can be conceptualized and managed. With the increased specialization of international law, a series of functional regimes and sub-regimes has emerged, each with their own imageries, vocabularies, expert knowledge and rules to translate our hopes and fears for the future into action in the present. At issue in the development of these regimes are not just competing predictions of the future based on what we know about what has happened in the past and what we know is happening in the present. Rather, these regimes seek to deal with futures about which we know very little or nothing at all; futures that are inherently uncertain and even potentially catastrophic; futures for which we need to find ways to identify, conceptualize, manage, and regulate risks the existence of which we can possibly only speculate about. This book explores how the future is imagined, articulated, and managed across various functional fields in international law. It explores how the future is construed in these various functional fields; how the costs of risk, risk regulation, risk assessment, and risk management are distributed in international law; the effect of uncertain futures on the subjects of international law; and the way in which international law operates when faced with catastrophic or existential risk. The contributions in this book will provide readers with a sound basis for making comparisons between the practices developed in different international legal regimes.

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39

Ricketts, Martin. Theories of Entrepreneurship : Historical Development and Critical Assessment. Sous la direction de Anuradha Basu, Mark Casson, Nigel Wadeson et Bernard Yeung. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199546992.003.0002.

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The historical evolution of ideas about the entrepreneur is a wide-ranging subject and one that can be organized in different ways — theorist by theorist, period by period, issue by issue and so forth. What follows is a compromise between these possibilities. This article starts with some very broad reflections about economic change over thousands of years and the connections between these changes and the economic thinking of the time. A recognizably ‘modern’ idea of the entrepreneur begins to emerge in the eighteenth century and part of this article is devoted to the role of entrepreneurship in classical and neoclassical economic theory. In the next five sections, the article looks at particular areas that have been associated with debates about the entrepreneurial role — uncertainty, innovation, economic efficiency, the theory of the firm, and economic development. A final section presents a brief summary and comments on the place of the entrepreneur in evolutionary models.

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40

Bossi, Giulia, et Olivier Deck. Natural Hazard Uncertainty Assessment. Excelic Press LLC, 2018.

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41

Probabilistic accident consequence uncertainty analysis : Food chain uncertainty assessment. Washington, DC : U.S. Nuclear Regulatory Commission, 1997.

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42

ICTS Apt Assessment of Professional Teaching Test 101-104. Xam Online.com, 2007.

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43

Probabilistic accident consequence uncertainty analysis : Early health effects uncertainty assessment. Washington, D.C : U.S. Nuclear Regulatory Commission, 1997.

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44

Probabilistic accident consequence uncertainty analysis : Early health effects uncertainty assessment (EUR). [Supt. of Docs., U.S. G.P.O., distributor], 1997.

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45

Probabilistic accident consequence uncertainty analysis : Late health effects uncertainty assessment (EUR). Supt. of Docs., U.S. G.P.O. [distributor, 1997.

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46

Uncertainty modeling and analysis. Mumbai : Health, Safety & Environment Group, Bhabha Atomic Research Centre, 2009.

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47

Uncertainty modeling and analysis. Mumbai : Health, Safety & Environment Group, Bhabha Atomic Research Centre, 2009.

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48

Environmental risk assessment : Dealing with uncertainty in environmental impact assessment. [Manila] : Office of the Environment, Asian Development Bank, 1991.

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49

Hill, Lisa J., Steve Sparks et Jonathan Rougier. Risk and Uncertainty Assessment for Natural Hazards. Cambridge University Press (CUP), 2013.

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50

Peters, Robert. Uncertainty in Acoustics : Measurement, Prediction and Assessment. Taylor & Francis Group, 2020.

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