IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v13y1992i4p373-384.html
   My bibliography  Save this article

Fitting and comparing probability distributions with log linear models

Author

Listed:
  • Lindsey, J. K.
  • Mersch, G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Lindsey, J. K. & Mersch, G., 1992. "Fitting and comparing probability distributions with log linear models," Computational Statistics & Data Analysis, Elsevier, vol. 13(4), pages 373-384, May.
  • Handle: RePEc:eee:csdana:v:13:y:1992:i:4:p:373-384
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-9473(92)90112-S
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. repec:jss:jstsof:46:i12 is not listed on IDEAS
    2. Jorge Mateu & Francisco Montes, 2001. "Pseudo-likelihood Inference for Gibbs Processes with Exponential Families through Generalized Linear Models," Statistical Inference for Stochastic Processes, Springer, vol. 4(2), pages 125-154, May.
    3. Morris, Darcy Steeg & Raim, Andrew M. & Sellers, Kimberly F., 2020. "A Conway–Maxwell-multinomial distribution for flexible modeling of clustered categorical data," Journal of Multivariate Analysis, Elsevier, vol. 179(C).

    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:eee:csdana:v:13:y:1992:i:4:p:373-384. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.