IDEAS home Printed from https://ideas.repec.org/a/spr/metcap/v21y2019i1d10.1007_s11009-018-9656-x.html
   My bibliography  Save this article

Expectation Bayesian Estimation of System Reliability Based on Failures

Author

Listed:
  • Ramin Gholizadeh

    (Universidade Estadual de Campinas, UNICAMP)

  • Sergio L. M. Londono

    (Universidade Estadual de Campinas, UNICAMP)

  • Manuel J. P. Barahona

    (Universidad del Bío-Bío)

Abstract

This paper discusses a new approach for system reliability parameter. Actually, we provide expectation Bayesian (E-Bayesian) estimation of system reliability for Series and parallel systems based on Pascal distribution. The definition and properties of E-Bayesian estimation are given. Also we applied three different distributions for the parameters in prior distribution to investigate the influence of the different prior distributions on the E-Bayesian estimation. The confidence intervals of R, based on E-Bayesian and bootstrap methods, are developed. The performance of these confidence intervals is studied through extensive simulation. Two numerical practical examples, is presented to illustrate the implementation of the proposed procedure.

Suggested Citation

  • Ramin Gholizadeh & Sergio L. M. Londono & Manuel J. P. Barahona, 2019. "Expectation Bayesian Estimation of System Reliability Based on Failures," Methodology and Computing in Applied Probability, Springer, vol. 21(1), pages 367-385, March.
    • Handle: RePEc:spr:metcap:v:21:y:2019:i:1:d:10.1007_s11009-018-9656-x
    DOI: 10.1007/s11009-018-9656-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11009-018-9656-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11009-018-9656-x?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.

    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:spr:metcap:v:21:y:2019:i:1:d:10.1007_s11009-018-9656-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.