IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v40y1991i2p365-374.html
   My bibliography  Save this article

Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution

Author

Listed:
  • A. Narayanan

Abstract

No abstract is available for this item.

Suggested Citation

  • A. Narayanan, 1991. "Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 365-374, June.
    • Handle: RePEc:bla:jorssc:v:40:y:1991:i:2:p:365-374
    DOI: 10.2307/2347605
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347605
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347605?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. R. L.J. Coetzer & R. F Rossouw & N. J. Le Roux, 2012. "Efficient maximin distance designs for experiments in mixtures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1939-1951, May.
    2. Wicker, Nicolas & Muller, Jean & Kalathur, Ravi Kiran Reddy & Poch, Olivier, 2008. "A maximum likelihood approximation method for Dirichlet's parameter estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1315-1322, January.
    3. Iain L. MacDonald, 2014. "Numerical Maximisation of Likelihood: A Neglected Alternative to EM?," International Statistical Review, International Statistical Institute, vol. 82(2), pages 296-308, August.
    4. Wayne DeSarbo & Venkatram Ramaswamy & Peter Lenk, 1993. "A latent class procedure for the structural analysis of two-way compositional data," Journal of Classification, Springer;The Classification Society, vol. 10(2), pages 159-193, December.

    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:bla:jorssc:v:40:y:1991:i:2:p:365-374. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.