• DocumentCode
    1878672
  • Title

    A New Distribution for Extreme Value Analysis

  • Author

    Chen, Gemai ; Bunce, Chris ; Jiang, Wenjiang

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The shape of the commonly used distributions in extreme value analysis is determined by either a specific functional form or a shape parameter. In this paper, we develop a family of distributions which uses two parameters to determine the shape: a balance parameter to control symmetry and a tail order parameter to control the thickness of the tail and modes. Each member in this family has closed forms for its density, cumulative distribution, and quantile function. We discuss the maximum likelihood and minimum distance estimation of the unknown parameters and illustrate the usefulness of the new distribution in extreme value analysis with a real data set.
  • Keywords
    maximum likelihood estimation; transportation; balance parameter; distribution method; extreme value analysis; maximum likelihood estimation; minimum distance estimation; tail order parameter; Equations; Hazards; Maximum likelihood estimation; Rail transportation; Shape; Terrain factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677106
  • Filename
    5677106