IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v19y2012i4p177-187.html
   My bibliography  Save this article

Two-Sex Branching Populations With Progenitor Couples in a Random Environment

Author

Listed:
  • SHIXIA MA
  • MANUEL MOLINA
  • YONGSHENG XING

Abstract

In a two-sex branching model, progenitor couples are affected by random factors. The probability and the time to extinction are expressed and simulated.

Suggested Citation

  • Shixia Ma & Manuel Molina & Yongsheng Xing, 2012. "Two-Sex Branching Populations With Progenitor Couples in a Random Environment," Mathematical Population Studies, Taylor & Francis Journals, vol. 19(4), pages 177-187, October.
    • Handle: RePEc:taf:mpopst:v:19:y:2012:i:4:p:177-187
    DOI: 10.1080/08898480.2012.718937
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/08898480.2012.718937
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/08898480.2012.718937?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. Peter Jagers & Karin Harding, 2009. "Viability of Small Populations Experiencing Recurring Catastrophes," Mathematical Population Studies, Taylor & Francis Journals, vol. 16(3), pages 177-198.
    2. Molina, Manuel & del Puerto, Inés M. & Ramos, Alfonso, 2007. "A class of controlled bisexual branching processes with mating depending on the number of progenitor couples," Statistics & Probability Letters, Elsevier, vol. 77(18), pages 1737-1743, December.
    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. Ollivier Hyrien & Nikolay M. Yanev, 2012. "Asymptotic Behavior of Cell Populations Described by Two-Type Reducible Age-Dependent Branching Processes With Non-Homogeneous Immigration," Mathematical Population Studies, Taylor & Francis Journals, vol. 19(4), pages 164-176, October.
    2. Manuel Molina & Manuel Mota & Alfonso Ramos, 2012. "Two-sex Branching Models with Random Control on the Number of Progenitor Couples," Methodology and Computing in Applied Probability, Springer, vol. 14(1), pages 35-48, March.

    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:taf:mpopst:v:19:y:2012:i:4:p:177-187. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.