Local limit theorems for the maxima of discrete random variables

Author:

Anderson C. W.

Abstract

Let , where the Xi, i = 1, 2, … are independent identically distributed random variables. Classical extreme value theory, described for example in the books of do Haan(6) and Galambos(3) gives conditions under which there exist constants an > 0 and bn such thatwhere G(x) is taken to be one of the extreme value distributions G1(x) = exp (− e−x), G2(x) = exp (− x−a) (x > 0, α > 0) and G3(x) = exp (−(− x)α) (x < 0, α > 0).

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Reference7 articles.

1. Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire

2. Extreme value theory for a class of discrete distributions with applications to some stochastic processes

3. (4) Gardiner D. J. and Kimber A. C. A numerical investigation of the convergence of the maximum of a set of independent Poisson variables to the extreme 2-point distribution (Research Report 193, Manchester-Sheffield School of Probability and Statistics, 1978).

4. III. Sample sequences of maxima;Pickands;Ann. Math. Stat,1967

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