IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v21y2006i1p31-42n6.html
   My bibliography  Save this article

Posterior Distribution and Loss Functions for Parameter Estimation in Weibull Processes

Author

Listed:
  • Franz Jürgen

    (Institute of Mathematical Stochastics, Technical University of Dresden, D - 01062 Dresden, Germany)

Abstract

Counting processes are used in modelling of repairable systems. In Bayesian parameter inference the choice of fitted prior distributions and loss functions has great importance. This paper deals with studies of prior and posterior densities. Simulation enables comparisons of estimators obtained with different loss functions. Especially, in the case of a Weibull process, properties relative to prior and posterior distributions are investigated.

Suggested Citation

  • Franz Jürgen, 2006. "Posterior Distribution and Loss Functions for Parameter Estimation in Weibull Processes," Stochastics and Quality Control, De Gruyter, vol. 21(1), pages 31-42, January.
  • Handle: RePEc:bpj:ecqcon:v:21:y:2006:i:1:p:31-42:n:6
    DOI: 10.1515/EQC.2006.31
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/EQC.2006.31
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/EQC.2006.31?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:bpj:ecqcon:v:21:y:2006:i:1:p:31-42:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.