IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v39y1992i6p757-773.html
   My bibliography  Save this article

A dynamic general linear model for inference from accelerated life tests

Author

Listed:
  • Thomas A. Mazzuchi
  • Refik Soyer

Abstract

We present a new approach for inference from accelerated life tests. Our approach is based on a dynamic general linear model setup which arises naturally from the accelerated life‐testing problem and uses linear Bayesian methods for inference. The advantage of the procedure is that it does not require large numbers of items to be tested and that it can deal with both censored and uncensored data. We illustrate the use of our approach with some actual accelerated life‐test data. © 1992 John Wiley & Sons, Inc.

Suggested Citation

  • Thomas A. Mazzuchi & Refik Soyer, 1992. "A dynamic general linear model for inference from accelerated life tests," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(6), pages 757-773, October.
  • Handle: RePEc:wly:navres:v:39:y:1992:i:6:p:757-773
    DOI: 10.1002/1520-6750(199210)39:63.0.CO;2-R
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1520-6750(199210)39:63.0.CO;2-R
    Download Restriction: no

    File URL: https://libkey.io/10.1002/1520-6750(199210)39:63.0.CO;2-R?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
    ---><---

    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:wly:navres:v:39:y:1992:i:6:p:757-773. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.