• DocumentCode
    1474358
  • Title

    Poisson distributions

  • Author

    Thompson, W.J.

  • Author_Institution
    North Carolina Univ., Chapel Hill, NC
  • Volume
    3
  • Issue
    3
  • fYear
    2001
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Scientists and engineers often use Poisson´s probability distribution to characterize the statistics of rare events whose average number is small. Using it correctly is crucial if we are to validate claims of discovery of new phenomena, such as a new fundamental particle (few candidate collision events among millions), a remote galaxy (few photons in the telescope among the billions emitted), or brain damage from using cell phones (few tumors among millions of users). In risk assessment, such as estimating the chance of dying from a horse kick if you´re in the Prussian army or from suicide (two of its early uses), it plays a crucial role, which should interest actuaries as well as morticians. The author has noticed that the Poisson distribution is often misunderstood and misapplied, so he describes some of its interesting and relevant properties. He emphasizes visualizing what´s happening in the mathematics by using Mathematica
  • Keywords
    Poisson distribution; engineering computing; natural sciences computing; statistical analysis; Mathematica; Poisson distributions; actuaries; engineering; mathematics; probability distribution; rare events; risk assessment; science; statistics; Data engineering; Data mining; Distributed computing; Electrostatics; Gaussian distribution; Graphics; Poisson equations; Probability distribution; Statistical distributions; Visualization;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/5992.919271
  • Filename
    919271