IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v43y2011i11p783-796.html
   My bibliography  Save this article

Estimating the mixture of a proportional hazards model with three types of failure data

Author

Listed:
  • Won Yun
  • Jong-Woon Kim

Abstract

Cox’s Proportional Hazards Model (PHM) has been widely applied in the analysis of lifetime data. It can be characterized in terms of covariates that influence the system lifetime, where the covariates describe the operating environment (e.g., temperature, pressure, humidity). When the covariates are assumed to be random variables, the hazards model becomes the mixed PHM. In this article, a parametric method is proposed to estimate the unknown parameters in the mixed PHM. Three types of data are considered: uncategorized field observations, categorized field ones, and categorized experimental ones. The expectation-maximization algorithm is used to handle the incomplete data problem. Simulation results are presented to illustrate the precision and some properties of the estimation results.Accepted in 2005 for a special issue on Reliability co-edited by Hoang Pham, Rutgers University; Dong Ho Park, Hallym University, Korea; and Richard Cassady, University of Arkansas.

Suggested Citation

  • Won Yun & Jong-Woon Kim, 2011. "Estimating the mixture of a proportional hazards model with three types of failure data," IISE Transactions, Taylor & Francis Journals, vol. 43(11), pages 783-796.
    • Handle: RePEc:taf:uiiexx:v:43:y:2011:i:11:p:783-796
    DOI: 10.1080/0740817X.2011.590436
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2011.590436
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2011.590436?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:uiiexx:v:43:y:2011:i:11:p:783-796. 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/uiie .

    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.