IDEAS home Printed from https://ideas.repec.org/p/ags/puaesp/257668.html
   My bibliography  Save this paper

Discrete Approximations of Joint Probability Distributions

Author

Listed:
  • DeVuyst, Eric
  • Preckel, Paul V.

Abstract

Practical computational limits for stochastic decision analysis models often require that probability distributions have a modest number of points with positive mass. This paper develops an approach to constructing such discrete joint probability distributions which introduces less bias than more commonly used methods. The method, based on solving systems of nonlinear equations, is demonstrated for both continuous and discrete distributions.

Suggested Citation

  • DeVuyst, Eric & Preckel, Paul V., 1991. "Discrete Approximations of Joint Probability Distributions," Staff Papers 257668, Purdue University, Department of Agricultural Economics.
    • Handle: RePEc:ags:puaesp:257668
    DOI: 10.22004/ag.econ.257668
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/257668/files/purdue%20sp%2091-1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.257668?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

    Keywords

    Productivity Analysis;

    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:ags:puaesp:257668. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dapurus.html .

    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.