IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v46y2017i2p736-746.html
   My bibliography  Save this article

Precise large deviations for the difference of two sums of END random variables with heavy tails

Author

Listed:
  • Zhiqiang Hua
  • Lixin Song
  • Dawei Lu
  • Xiaomeng Qi

Abstract

Assume that there are two types of insurance contracts in an insurance company, and the ith related claims are denoted by {Xij, j ⩾ 1}, i = 1, 2. In this article, the asymptotic behaviors of precise large deviations for non random difference ∑n1(t)j = 1X1j − ∑n2(t)j = 1X2j and random difference ∑N1(t)j = 1X1j − ∑N2(t)j = 1X2j are investigated, and under several assumptions, some corresponding asymptotic formulas are obtained.

Suggested Citation

  • Zhiqiang Hua & Lixin Song & Dawei Lu & Xiaomeng Qi, 2017. "Precise large deviations for the difference of two sums of END random variables with heavy tails," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(2), pages 736-746, January.
  • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:2:p:736-746
    DOI: 10.1080/03610926.2015.1004094
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2015.1004094
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2015.1004094?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.

    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:lstaxx:v:46:y:2017:i:2:p:736-746. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.