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Fisher-Tippett-Gnedenko Theorem

Probability and Statistics

The Fisher-Tippett-Gnedenko Theorem is a foundational result of extreme value theory describing the possible limiting behavior of the maximum of a large sample of independent, identically distributed random variables. It shows that, after proper rescaling, this maximum can only converge in distribution to one of three families of distributions: the Gumbel, the Frechet, or the Weibull distribution. Credit for the theorem is shared among Maurice Frechet, Ronald Fisher and Leonard Tippett, Richard von Mises, and Boris Gnedenko, whose work between the 1920s and 1943 established its full statement.

Facts
Statement
The maximum of a sample of independent, identically distributed random variables, after proper renormalization, can only converge in distribution to one of three families: the Gumbel, Frechet or Weibull distribution. 1
Proof Year
1943 1
Sources
1. Fisher-Tippett-Gnedenko theorem (Wikipedia)
  • Lead section, theorem statement sentence
    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.
  • Lead section, credit sentence
    Credit for the extreme value theorem and its convergence details are given to Fréchet (1927), Fisher and Tippett (1928), von Mises (1936), and Gnedenko (1943).
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