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About: Generalized extreme value distribution     Goto   Sponge   NotDistinct   Permalink

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Type: yago:WikicatContinuousDistributionsyago:Abstraction100002137yago:Arrangement105726596yago:Cognition100023271yago:Datum105816622yago:Distribution105729036yago:Information105816287yago:PsychologicalFeature100023100yago:Structure105726345yago:WikicatExtremeValueDatayago:WikicatProbabilityDistributions New Facet based on Instances of this Class

In probability theory and statistics, the generalized extreme value (GEV) distribution is a family of continuous probability distributions developed within extreme value theory to combine the Gumbel, Fréchet and Weibull families also known as type I, II and III extreme value distributions. By the extreme value theorem the GEV distribution is the only possible limit distribution of properly normalized maxima of a sequence of independent and identically distributed random variables. Note that a limit distribution needs to exist, which requires regularity conditions on the tail of the distribution. Despite this, the GEV distribution is often used as an approximation to model the maxima of long (finite) sequences of random variables.