IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v47y2018i22p5474-5484.html
   My bibliography  Save this article

A quantile-based study on ageing intensity function

Author

Listed:
  • S. M. Sunoj
  • R. S. Rasin

Abstract

Jiang, Ji, and Xiao (2003) has introduced a quantitative measure known as the ageing intensity function for evaluating the ageing properties of a component/system. In recent years, there has been a great interest on the study of quantile function, an equivalent alternative to the distribution function approach. Unlike the distribution function approach, the quantile method possess some unique properties (see Gilchrist 2000, Nair, Sankaran, and Balakrishnan 2013). Motivated with this, in the present paper we introduce a quantile-based ageing intensity function and study its various ageing properties. We also study some stochastic comparison of random variables based on the proposed measure.

Suggested Citation

  • S. M. Sunoj & R. S. Rasin, 2018. "A quantile-based study on ageing intensity function," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(22), pages 5474-5484, November.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:22:p:5474-5484
    DOI: 10.1080/03610926.2017.1395049
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2017.1395049
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2017.1395049?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:47:y:2018:i:22:p:5474-5484. 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.