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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: