IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v28y2013i1p23-30n4.html
   My bibliography  Save this article

The Bivariate Confluent Hypergeometric Series Distribution and Some of Its Properties

Author

Listed:
  • Kumar C. Satheesh

    (Department of Statistics, University of Kerala, Trivandrum-695 581, India)

Abstract

In this paper we develop a bivariate version of the confluent hypergeometric series distribution through its probability generating function and study some of its properties by deriving its probability mass function, factorial moments, probability generating functions of its marginal and conditional distributions and recursion formulae for probabilities, raw moments and factorial moments. Further certain mixtures and limiting cases of this distribution are also obtained.

Suggested Citation

  • Kumar C. Satheesh, 2013. "The Bivariate Confluent Hypergeometric Series Distribution and Some of Its Properties," Stochastics and Quality Control, De Gruyter, vol. 28(1), pages 23-30, October.
  • Handle: RePEc:bpj:ecqcon:v:28:y:2013:i:1:p:23-30:n:4
    DOI: 10.1515/eqc-2013-0009
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eqc-2013-0009
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/eqc-2013-0009?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
    ---><---

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

    References listed on IDEAS

    as
    1. C. Satheesh Kumar, 2008. "A unified approach to bivariate discrete distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 113-123, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diksha Das & Tariq S. Alshammari & Khudhayr A. Rashedi & Bhanita Das & Partha Jyoti Hazarika & Mohamed S. Eliwa, 2024. "Discrete Joint Random Variables in Fréchet-Weibull Distribution: A Comprehensive Mathematical Framework with Simulations, Goodness-of-Fit Analysis, and Informed Decision-Making," Mathematics, MDPI, vol. 12(21), pages 1-28, October.
    2. Debasis Kundu, 2020. "On a General Class of Discrete Bivariate Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(2), pages 270-304, November.
    3. Kemp, Adrienne W., 2013. "New discrete Appell and Humbert distributions with relevance to bivariate accident data," Journal of Multivariate Analysis, Elsevier, vol. 113(C), pages 2-6.

    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:bpj:ecqcon:v:28:y:2013:i:1:p:23-30:n:4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.