On maximum family size in branching processes



Journal of Applied Probability

On maximum family size in branching processes

Ibrahim Rahimov and George P. Yanev

Source: J. Appl. Probab. Volume 36, Number 3 (1999), 632-643.

Abstract

The number Yn of offspring of the most prolific individual in the nth generation of a Bienaymé-Galton-Watson process is studied. The asymptotic behaviour of Yn as n → ∞ may be viewed as an extreme value problem for i.i.d. random variables with random sample size. Limit theorems for both Yn and EYn provided that the offspring mean is finite are obtained using some convergence results for branching processes as well as a transfer limit lemma for maxima. Subcritical, critical and supercritical branching processes are considered separately.

Primary Subjects: 60J80
Secondary Subjects: 60G70, 60F05
Keywords: Bienaymé-Galton-Watson branching process; max-stability; max-semi-stability; random sample size; transfer theorems

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.jap/1032374622
Digital Object Identifier: doi:10.1239/jap/1032374622
Mathematical Reviews number (MathSciNet): MR1737041
Zentralblatt MATH identifier: 0947.60085


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