IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v017i10.html
   My bibliography  Save this article

RAGE: A Java-implemented Visual Random Generator

Author

Listed:
  • Pérez, Carlos Javier
  • Schwibbe, Hansgeorg
  • Weidner, Petra

Abstract

Carefully designed Java applications turn out to be efficient and platform independent tools that can compete well with classical implementations of statistical software. The project presented here is an example underlining this statement for random variate generation. An end-user application called RAGE (Random Variate Generator) is developed to generate random variates from probability distributions. A Java class library called JDiscreteLib has been designed and implemented for the simulation of random variables from the most usual discrete distributions inside RAGE. For each distribution, specific and general algorithms are available for this purpose. RAGE can also be used as an interactive simulation tool for data and data summary visualization.

Suggested Citation

  • Pérez, Carlos Javier & Schwibbe, Hansgeorg & Weidner, Petra, 2007. "RAGE: A Java-implemented Visual Random Generator," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i10).
    • Handle: RePEc:jss:jstsof:v:017:i10
    DOI: http://hdl.handle.net/10.18637/jss.v017.i10
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v017i10/v17i10.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v017i10/RAGE.zip
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v017i10/JDiscreteLib.zip
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v017i10/example.java
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v017.i10?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:jss:jstsof:v:017:i10. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    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.