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The Pareto distribution named after the Italian economist Vilfredo Pareto is a power law 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 <math>x_{\min} \; k \over k-1 <math> (if <math> k \leq 1<math>, the expected value is infinite) and its standard deviation is <math>{x_{\min} \over k-1} \sqrt{k \over k-2}<math> (if <math> k \leq 2<math>, the standard deviation doesn't exist).
Examples said to be approximately Pareto distributions: