IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v45y2018i11p2081-2094.html
   My bibliography  Save this article

The inverse power Lindley distribution in the presence of left-censored data

Author

Listed:
  • Emílio A. Coelho-Barros
  • Josmar Mazucheli
  • Jorge A. Achcar
  • Kelly Vanessa Parede Barco
  • José Rafael Tovar Cuevas

Abstract

In this study, classical and Bayesian inference methods are introduced to analyze lifetime data sets in the presence of left censoring considering two generalizations of the Lindley distribution: a first generalization proposed by Ghitany et al. [Power Lindley distribution and associated inference, Comput. Statist. Data Anal. 64 (2013), pp. 20–33], denoted as a power Lindley distribution and a second generalization proposed by Sharma et al. [The inverse Lindley distribution: A stress–strength reliability model with application to head and neck cancer data, J. Ind. Prod. Eng. 32 (2015), pp. 162–173], denoted as an inverse Lindley distribution. In our approach, we have used a distribution obtained from these two generalizations denoted as an inverse power Lindley distribution. A numerical illustration is presented considering a dataset of thyroglobulin levels present in a group of individuals with differentiated cancer of thyroid.

Suggested Citation

  • Emílio A. Coelho-Barros & Josmar Mazucheli & Jorge A. Achcar & Kelly Vanessa Parede Barco & José Rafael Tovar Cuevas, 2018. "The inverse power Lindley distribution in the presence of left-censored data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(11), pages 2081-2094, August.
    • Handle: RePEc:taf:japsta:v:45:y:2018:i:11:p:2081-2094
    DOI: 10.1080/02664763.2017.1410525
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2017.1410525
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2017.1410525?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:japsta:v:45:y:2018:i:11:p:2081-2094. 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/CJAS20 .

    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.