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
Link To Document