= Exponential Distribution = The '''exponential distribution''' is a non-negative continuous probability distribution function. <> ---- == Description == The distribution is parameterized to a strictly positive '''rate'''. A random variable distributed by this function is expressed as ''X ~ Exp(λ)''. The distribution is given by {{attachment:exp.svg}} for any ''x ∈ [0,,∞)''. The exponential distribution is equivalent to a [[Analysis/GammaDistribution|gamma distribution]] parameterized for shape and rate (''θ''): ''Exp(λ) = Gamma(1, λ)''. ---- == Moments == The [[Analysis/ExpectedValue|expected value]] is given as ''E[X] = 1/λ''. The derivation is: {{attachment:exp1.svg}} [[Calculus/IntegrationByParts|Integrate by parts]] with ''u = x'' and ''dv = λe^-λx^ dx''. {{attachment:exp2.svg}} The first part of the RHS is an infinite [[Calculus/Limit|limit]] that evaluates as indeterminate, but applying [[Calculus/Limit#L.27H.2BAPQ-pital.27s_Rule|L'Hôpital's Rule]] reveals it to be 0. {{attachment:exp3.svg}} {{attachment:exp4.svg}} Therefore the problem reduced back to a single integral. {{attachment:exp5.svg}} This is now also an infinite limit. {{attachment:exp6.svg}} This rewritten limit is clearly ''0 - 1 = -1'', leaving ''E[X] = 1/λ''. [[Analysis/Variance|Variance]] is given as ''Var[X] = 1/(λ^2^)''. ---- CategoryRicottone