IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-1-84800-113-8_1.html
   My bibliography  Save this book chapter

Central Limit Theorem for a Family of Reliability Measures

In: Recent Advances in Reliability and Quality in Design

Author

Listed:
  • P. Zeephongsekul

    (RMIT University)

Abstract

The main objective of this chapter is to present and prove a Central Limit Theorem for a measure of reliability, called gauge measure, which was introduced in an earlier paper. This measure is derived from a marked point process where the base process is a random point process and the marks are fuzzy random variables. The underlying point process represents the locations where faults are located and the fuzzy marks quantify the subjective assessment when remedial actions are implemented to restore the system to its former working condition. Several examples including an application are provided which serve to illustrate the many results presented in this chapter. Finally, we conclude this chapter with suggestions for future work.

Suggested Citation

  • P. Zeephongsekul, 2008. "Central Limit Theorem for a Family of Reliability Measures," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Recent Advances in Reliability and Quality in Design, chapter 1, pages 3-30, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-84800-113-8_1
    DOI: 10.1007/978-1-84800-113-8_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:ssrchp:978-1-84800-113-8_1. 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.