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 :
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