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The Pareto distribution, named after the Italian economist Vilfredo Pareto, is a power law probability distribution found in a large number of real-world situations. This distribution is also known, mostly outside economics, as the Bradford distribution.
If X is a random variable with a Pareto distribution, then the probability distribution of X is characterized by the statement
where x is any number greater than xmin, which is the (necessarily positive) minimum possible value of X, and k is a positive parameter. The family of Pareto distributions is parameterized by two quantities, xmin and k. The density is then
Pareto distributions are continuous probability distributions. "Zipf's law", also sometimes called the "zeta distribution", may be thought of as a discrete counterpart of the Pareto distribution. The expected value of a random variable following a Pareto distribution is (if , the expected value is infinite) and its standard deviation is (if , the standard deviation doesn't exist).
Examples said to be approximately Pareto distributions:
- wealth distribution in individuals before modern industrial capitalism created the vast middle class
- wealth distribution in individuals even after modern industrial capitalism created the vast middle class
- sizes of human settlements
- visits to Wikipedia pages
- clusters of Bose-Einstein condensate near absolute zero
- file size distribution of Internet traffic which uses the TCP protocol
- value of oil reserves in oil fields
- the number of fatalities due to hurricanes?
- in-degree distribution of blogs in blog link network
- length distribution in jobs assigned supercomputers
See also
External links
- William J. Reed: The Pareto, Zipf and other power laws, http://linkage.rockefeller.edu/wli/zipf/reed01_el.pdf