On maximum family size in branching processes

Ibrahim Rahimov, George P. Yanev*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)632-643
Number of pages12
JournalJournal of Applied Probability
Volume36
Issue number3
DOIs
StatePublished - 1999

Keywords

  • Bienaymé-Galton-Watson branching process
  • Max-semi-stability
  • Max-stability
  • Random sample size
  • Transfer theorems

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics
  • Statistics, Probability and Uncertainty

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