IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-0-387-89014-2_1.html
   My bibliography  Save this book chapter

Quantitative Risk Assessment Goals and Challenges

In: Risk Analysis of Complex and Uncertain Systems

Author

Listed:
  • Louis Anthony Cox

    (Cox Associates)

Abstract

How should societies, organizations, and individuals manage risks from activities with unknown or uncertain consequences? Many regulators and scientists advocate quantitative risk assessment (QRA) as providing both a logical framework and a systematic procedure for organizing and applying scientific and engineering knowledge to improve “rational” (consequence-driven) decision making when the consequences of alternative decisions are uncertain. It seeks to do so by using predictive models to identify and recommend choices (typically, among alternative risk management interventions, policies, or plans) that are predicted to make preferred consequences more likely.

Suggested Citation

  • Louis Anthony Cox, 2009. "Quantitative Risk Assessment Goals and Challenges," International Series in Operations Research & Management Science, in: Risk Analysis of Complex and Uncertain Systems, chapter 0, pages 3-33, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-89014-2_1
    DOI: 10.1007/978-0-387-89014-2_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-0-387-89014-2_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.