• DocumentCode
    3472629
  • Title

    Ageing concepts for discrete data — A relook

  • Author

    Dewan, I. ; Sudheesh, K.K.

  • Author_Institution
    Stat Math Unit, Indian Stat. Inst., Delhi, India
  • fYear
    2011
  • fDate
    14-17 Sept. 2011
  • Firstpage
    200
  • Lastpage
    204
  • Abstract
    Many a times a product lifetime can be described through a nonnegative integer valued random variable. For example, a piece of equipment operates in cycles and the experimenter observes the number of cycles successfully completed prior to failure. A frequently referred example is a Xerox machine whose life length would be the total number of copies it produces before the failure. Another example is the length of the hospital stay of patients who were hospitalized due to an accident. We review ageing concepts like ILR, IHR, IHRA, NBU, NBUE, MRL, etc for discrete random variables and look at stochastic orderings between two discrete random variables.
  • Keywords
    failure analysis; integer programming; machinery; production equipment; reliability; remaining life assessment; stochastic processes; Xerox machines; ageing concepts; discrete random variables; equipment; failure; hospital stay; nonnegative integer value; product lifetime; stochastic orderings; Aging; Data models; Hazards; Random variables; Reliability theory; Stochastic processes; Discrete reliability; ageing properties; proportional hazard model; stochastic ordering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality and Reliability (ICQR), 2011 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4577-0626-4
  • Type

    conf

  • DOI
    10.1109/ICQR.2011.6031709
  • Filename
    6031709