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 language | English |
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Pages (from-to) | 632-643 |
Number of pages | 12 |
Journal | Journal of Applied Probability |
Volume | 36 |
Issue number | 3 |
DOIs | |
State | Published - 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