IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i5p1073-1091.html
   My bibliography  Save this article

On diagnostic devices for proposing half-logistic and inverse half-logistic models using generalized (k) record values

Author

Listed:
  • P. Yageen Thomas
  • Jerin Paul

Abstract

In this work we consider the generalized upper (k) record values (GURV’s) and generalized lower (k) record values (GLRV’s) arising from half-logistic distribution (HLD) and inverse half-logistic distribution (IHLD). We derive some characterization results of HLD based on some moment relations of generalized upper (k) record values and those of generalized lower (k) record values and accordingly devised some diagnostic tools to identify HLD as a model to the distribution of a population. Similar characterization theorems and diagnostic tools are developed for IHLD as well. Simulation studies are conducted to validate the diagnostic tools devised for both HLD and IHLD.

Suggested Citation

  • P. Yageen Thomas & Jerin Paul, 2019. "On diagnostic devices for proposing half-logistic and inverse half-logistic models using generalized (k) record values," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(5), pages 1073-1091, March.
  • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:5:p:1073-1091
    DOI: 10.1080/03610926.2018.1423697
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1423697
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2018.1423697?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. J. S. Khan & Farhan Ansari & Qazi J. Azhad & Naresh Chandra Kabdwal, 2024. "Moments and inferences of inverted topp-leone distribution based on record values," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2623-2633, June.

    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:48:y:2019:i:5:p:1073-1091. 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.