• DocumentCode
    1351993
  • Title

    Some Graphical Techniques for Estimating Weibull Confidence Intervals

  • Author

    Stone, G.C. ; Rosen, H.

  • Author_Institution
    Canada Wire and Cable Ltd.; 250 Ferrand Drive; Don Mills, Ontario, M3C 3J4 CANADA.
  • Issue
    5
  • fYear
    1984
  • Firstpage
    362
  • Lastpage
    369
  • Abstract
    Many methods for estimating the parameter and percentile statistical confidence intervals for the Weibull and Gumbel (extreme value) distributions have been described in the literature. Most of these methods depend on extensive computer programs, require reference to tables which do not cover all sample sizes of interest and/or are not widely available. This paper describes a semi-empirical technique which permits rapid estimation of the 2-sided 90% statistical confidence intervals for the Weibull or Gumbel distribution parameters, as well as for the 1, 5, 10 percentiles. The estimates can be obtained for type II censoring and sample sizes to 25. The statistical confidence intervals calculated using this method are not exact, but are very good approximations and are useful to engineers who do not have ready access to programs or lengthy tables, or who require quick estimates. If more accurate statistical confidence intervals are required, then the more complicated methods described in the references should be used.
  • Keywords
    Data analysis; Engineering management; Failure analysis; Laboratories; Maximum likelihood estimation; Parameter estimation; Power cables; Shape; Weibull distribution; Wire; Graphical method; Gumbel distribution; Weibull distribution; s-Confidence interval;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1984.5221866
  • Filename
    5221866