IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-12385-1_61.html
   My bibliography  Save this book chapter

SIMLAB Software for Uncertainty and Sensitivity Analysis

In: Handbook of Uncertainty Quantification

Author

Listed:
  • Stefano Tarantola

    (Joint Research Centre of the European Commission, Statistical Indicators for Policy Assessment
    European Commission Joint Research Centre, Institute for Energy and Transport)

  • William Becker

    (European Commission Joint Research Centre)

Abstract

SIMLAB 4.0 is a comprehensive stand-alone software package for performing global sensitivity analysis. Several sampling strategies and sensitivity measures are available. SIMLAB includes the most recent variance-based formulas for first-order and total-order sensitivity indices, graphical methods, as well as more classical methods. The peculiarity of SIMLAB, in contrast to previous versions of the package, is the possibility to run sequential sensitivity analysis, which allows updating the sensitivity measures at each run, or group of runs, of the model. The techniques can be accessed through the R environment as well as through a graphical user interface. The user can also add new techniques by simply adding the corresponding R code to the core layer. SIMLAB can be downloaded for free from the Joint Research Centre’s website.

Suggested Citation

  • Stefano Tarantola & William Becker, 2017. "SIMLAB Software for Uncertainty and Sensitivity Analysis," Springer Books, in: Roger Ghanem & David Higdon & Houman Owhadi (ed.), Handbook of Uncertainty Quantification, chapter 57, pages 1979-1999, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-12385-1_61
    DOI: 10.1007/978-3-319-12385-1_61
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sprchp:978-3-319-12385-1_61. 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.