IDEAS home Printed from https://ideas.repec.org/a/eee/jmvana/v54y1995i1p1-17.html
   My bibliography  Save this article

Multivariate Liouville Distributions, IV

Author

Listed:
  • Gupta, R. D.
  • Richards, D. S. P.

Abstract

We define a class of distributions, containing the classical Dirichlet and Liouville distributions, in which the random variables take values in a locally compact Abelian group or semigroup. These generalizations retain many properties of the Dirichlet and Liouville distributions, including properties of the marginal and conditional distributions and regression functions. We present a number of examples illustrating the general theory.

Suggested Citation

  • Gupta, R. D. & Richards, D. S. P., 1995. "Multivariate Liouville Distributions, IV," Journal of Multivariate Analysis, Elsevier, vol. 54(1), pages 1-17, July.
    • Handle: RePEc:eee:jmvana:v:54:y:1995:i:1:p:1-17
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047-259X(85)71042-1
    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. Edward Hoyle & Levent Ali Menguturk, 2020. "Generalised Liouville Processes and their Properties," Papers 2003.11312, arXiv.org, revised May 2020.
    2. Gupta, Rameshwar D. & Richards, Donald St. P., 2002. "Moment Properties of the Multivariate Dirichlet Distributions," Journal of Multivariate Analysis, Elsevier, vol. 82(1), pages 240-262, July.
    3. Bhattacharya, P. K. & Burman, Prabir, 1998. "Semiparametric Estimation in the Multivariate Liouville Model," Journal of Multivariate Analysis, Elsevier, vol. 65(1), pages 1-18, April.
    4. Hoyle, Edward & Hughston, Lane P. & Macrina, Andrea, 2011. "Lévy random bridges and the modelling of financial information," Stochastic Processes and their Applications, Elsevier, vol. 121(4), pages 856-884, April.
    5. Ongaro, A. & Migliorati, S., 2013. "A generalization of the Dirichlet distribution," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 412-426.
    6. Letac, Gérard & Massam, Hélène & Richards, Donald, 2001. "An Expectation Formula for the Multivariate Dirichlet Distribution," Journal of Multivariate Analysis, Elsevier, vol. 77(1), pages 117-137, April.
    7. Elena Hadjicosta & Donald Richards, 2020. "Integral transform methods in goodness-of-fit testing, II: the Wishart distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1317-1370, 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:eee:jmvana:v:54:y:1995:i:1:p:1-17. 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/wps/find/journaldescription.cws_home/622892/description#description .

    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.