• DocumentCode
    1349543
  • Title

    Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian

  • Author

    Bhattacharyya, G.K. ; Fries, Arthur

  • Author_Institution
    Department of Statistics; University of Wisconsin; 1210 West Dayton Street; Madison, WI 53706 USA.
  • Issue
    5
  • fYear
    1982
  • Firstpage
    439
  • Lastpage
    441
  • Abstract
    The assumption of a common underlying failure process leads to both the inverse Gaussian distribution and the fatigue life distribution of Birnbaum & Saunders. The first is obtained by an exact derivation while the second involves certain approximations. Although both of these distributions fit many failure data well, the inverse Gaussian distribution enjoys a distinct advantage in regard to the availability of procedures for a sound statistical analysis and tractability of the sampling distributions.
  • Keywords
    Analysis of variance; Fatigue; Gaussian distribution; Information analysis; Inverse problems; Reliability engineering; Reliability theory; Statistical analysis; Stochastic processes; Zinc; Birnbaum-Saunders distribution; Exponential family; Fatigue failure model; Inverse Gaussian distribution; Wiener process;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1982.5221421
  • Filename
    5221421