Fisher–Tippett–Gnedenko theorem

In mathematical statistics, the Fisher–Tippett–Gnedenko theorem (also the Fisher–Tippett theorem or the extreme value theorem) is a general result in extreme value theory regarding asymptotic distribution of extreme order statistics. The maximum of a sample of iid random variables after proper renormalization can only converge in distribution to one of three possible distribution families: the Gumbel distribution, the Fréchet distribution, or the Weibull distribution.

Source: Wikipedia — Fisher–Tippett–Gnedenko theorem (CC BY-SA 4.0)

Fisher–Tippett–Gnedenko theorem

In mathematical statistics, the Fisher–Tippett–Gnedenko theorem (also the Fisher–Tippett theorem or the extreme value theorem) is a general result in extreme value theory regarding asymptotic distribution of extreme order statistics. The maximum of a sample of iid random variables after proper renormalization can only converge in distribution to one of three possible distribution families: the Gumbel distribution, the Fréchet distribution, or the Weibull distribution.

Source: Wikipedia "Fisher–Tippett–Gnedenko theorem" · CC BY-SA 4.0

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