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An age dependent branching process with variable lifetime distribution: The generation size

Published online by Cambridge University Press:  01 July 2016

Robert Fildes*
Affiliation:
Manchester Business School

Abstract

In a branching process with variable lifetime, introduced by Fildes (1972) define Yjk(t) as the number of particles alive in generation k at time t when the initial particle is born in generation j. A limit law similar to that derived in the Bellman-Harris process is proved where it is shown that Yjk(t) suitably normalised converges in mean square to a random variable which is the limit random variable of Znm–n in the Galton-Watson process (m is the mean number of particles born).

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1974 

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References

[1] Cramér, H. (1962) Random Variables and Probability Distributions. 2nd ed. Cambridge University Press.Google Scholar
[2] Feller, W. (1966) An Introduction to Probability Theory and its Applications. Vol. II. Wiley, New York.Google Scholar
[3] Fildes, R. (1972) An age-dependent branching process with variable lifetime distribution. Adv. Appl. Prob. 4, 453474.CrossRefGoogle Scholar
[4] Harris, T. E. (1963) The Theory of Branching Processes. Springer-Verlag, Berlin.Google Scholar
[5] Katz, M. (1963) The probability in the tail of a distribution. Ann. Math. Statist. 34, 312318.Google Scholar
[6] Kharlamov, B. P. (1968) On properties of branching processes with an arbitrary set of particle types. Theor. Probability Appl. 13, 8498.Google Scholar
[7] Kharlamov, B. P. (1969) On the generation numbers of particles in a branching process with overlapping generations. Theor. Probability Appl. 14, 4450.Google Scholar
[8] Kharlamov, B. P. (1969) The number of generations in a branching process with an arbitrary set of particle types. Theor. Probability Appl. 14, 432449.CrossRefGoogle Scholar
[9] Loève, M. (1963) Probability Theory. 3rd ed. Van Nostrand, Princeton, New Jersey.Google Scholar
[10] Martin-Löf, A. (1966) A limit theorem for the size of the nth generation of an age-dependent branching process. J. Math. Anal. Appl. 15, 273279.Google Scholar