• DocumentCode
    1020221
  • Title

    Discrete Rayleigh distribution

  • Author

    Roy, Dilip

  • Author_Institution
    Dept. of Bus. Adm., Univ. of Burdwan, India
  • Volume
    53
  • Issue
    2
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    255
  • Lastpage
    260
  • Abstract
    Using a general approach for discretization of continuous life distributions in the univariate & bivariate situations, we have proposed a discrete Rayleigh distribution. This distribution has been examined in detail with respect to two measures of failure rate. Characterization results have also been studied to establish a direct link between the discrete Rayleigh distribution, and its continuous counterpart. This discretization approach not only expands the scope of reliability modeling, but also provides a method for approximating probability integrals arising out of a continuous setting. As an example, the reliability value of a complex system has been approximated. This discrete approximation in a nonnormal setting can be of practical use & importance, as it can replace the much relied upon simulation method. While the replication required is minimal, the degree of accuracy remains reasonable for our suggested method when compared with the simulation method.
  • Keywords
    discrete systems; failure analysis; reliability theory; statistical distributions; discrete rayleigh distribution; discretization approach; failure rate; life distribution; reliability approximation; Failure analysis; Hazards; Life estimation; Maximum likelihood estimation; Random variables; Reliability; Solid modeling; Time measurement; US Department of Transportation; Weibull distribution; Characterization; Rayleigh distribution; discrete models; failure rate; life distribution; reliability approximation; second rate of failure;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2004.829161
  • Filename
    1308670