• DocumentCode
    1020241
  • Title

    On the exponential formula for reliability

  • Author

    Finkelstein, Maxim S.

  • Author_Institution
    Dept. of Math. Stat., Univ. of the Free State, Bloemfontein, South Africa
  • Volume
    53
  • Issue
    2
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    It is usually assumed that the exponential formula commonly used in reliability & survival analysis holds for the case of conditioning on "smooth" external covariates, and is not valid for the case of internal covariates. Using an example of external shocks affecting an item, it is shown that, though formally the influence is not smooth in this case, the corresponding exponential formula still holds. On the other hand, internal covariates do not necessarily lead to the not-absolutely-continuous conditional Cdf. If the internal covariate process specifies the full information on the item\´s failure process, then the corresponding conditional Cdf is not absolutely continuous. If the observed internal covariate does not provide complete information on the item\´s state, then the corresponding conditional Cdf can be still absolutely continuous, and the exponential formula holds.
  • Keywords
    exponential distribution; failure analysis; reliability theory; covariate process; distribution mixture; exponential formula; external shock; failure process; item state information; observed failure rate; reliability analysis; survival analysis; Acceleration; Africa; Distribution functions; Electric shock; Hazards; Random variables; Statistical distributions; Stochastic processes; Stress; Temperature; External covariates; internal covariates; mixture of distributions; observed failure rate; shock process;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2004.829164
  • Filename
    1308672