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Exponential distribution
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==Definitions== ===Probability density function=== The [[probability density function]] (pdf) of an exponential distribution is :<math> f(x;\lambda) = \begin{cases} \lambda e^{ - \lambda x} & x \ge 0, \\ 0 & x < 0. \end{cases}</math> Here ''Ξ»'' > 0 is the parameter of the distribution, often called the ''rate parameter''. The distribution is supported on the interval {{closed-open|0, β}}. If a [[random variable]] ''X'' has this distribution, we write {{math|''X'' ~ Exp(''Ξ»'')}}. The exponential distribution exhibits [[infinite divisibility (probability)|infinite divisibility]]. ===Cumulative distribution function=== The [[cumulative distribution function]] is given by :<math>F(x;\lambda) = \begin{cases} 1-e^{-\lambda x} & x \ge 0, \\ 0 & x < 0. \end{cases}</math> ===Alternative parametrization=== The exponential distribution is sometimes parametrized in terms of the [[scale parameter]] {{math|1=''Ξ²'' = 1/''Ξ»''}}, which is also the mean: <math display="block">f(x;\beta) = \begin{cases} \frac{1}{\beta} e^{-x/\beta} & x \ge 0, \\ 0 & x < 0. \end{cases} \qquad\qquad F(x;\beta) = \begin{cases} 1- e^{-x/\beta} & x \ge 0, \\ 0 & x < 0. \end{cases} </math>
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