IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1932704.html
   My bibliography  Save this article

Compound Binomial Model with Batch Markovian Arrival Process

Author

Listed:
  • Fang Jin
  • Chengxun Wu
  • Hui Ou

Abstract

A compound binomial model with batch Markovian arrival process was studied, and the specific definitions are introduced. We discussed the problem of ruin probabilities. Specially, the recursion formulas of the conditional finite-time ruin probability are obtained and the numerical algorithm of the conditional finite-time nonruin probability is proposed. We also discuss research on the compound binomial model with batch Markovian arrival process and threshold dividend. Recursion formulas of the Gerber–Shiu function and the first discounted dividend value are provided, and the expressions of the total discounted dividend value are obtained and proved. At the last part, some numerical illustrations were presented.

Suggested Citation

  • Fang Jin & Chengxun Wu & Hui Ou, 2020. "Compound Binomial Model with Batch Markovian Arrival Process," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, November.
  • Handle: RePEc:hin:jnlmpe:1932704
    DOI: 10.1155/2020/1932704
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/1932704.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/1932704.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/1932704?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
    ---><---

    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:hin:jnlmpe:1932704. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.