Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-26T07:21:43.563Z Has data issue: false hasContentIssue false

Applications of the age distribution in age dependent branching processes

Published online by Cambridge University Press:  14 July 2016

Howard J. Weiner*
Affiliation:
University of California, Davis

Extract

This paper considers asymptotic properties of increasing population age dependent branching processes which have a limiting age distribution. In Section I, the Bellman-Harris model [2] is altered in accord with a suggestion by Kendall [3]. The effect of this modification on the applicable results of [3] is indicated. An extension to the case where each cell passes through a sequence of states to mitosis or proceeds from state to state in accord with a semi-Markov process to mitosis is considered. Section 1.1 considers asymptotic moments for the total number of cells. Section 1.2 treats moments in a sequence-of-states model [4]. Section 1.3 extends the results of 1.2 to a semi-Markov model. Section 1.4 treats various asymptotic lifetime distributions and fraction of cells in a given state for both the sequence-of-states and semi-Markov models.

Type
Research Papers
Copyright
Copyright © Sheffield: Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Cox, D. R. (1962) Renewal Theory, Methuen, London.Google Scholar
[2] Harris, T. E. (1963) The Theory of Branching Processes, Prentice-Hall and Springer, Berlin.Google Scholar
[3] Kendall, D. G. (1952) On the choice of a mathematical model to represent normal bacterial content. J. Roy. Statist. Soc. Ser. B. 14 No. 1, 4144.Google Scholar
[4] Weiner, H. J. (1964) On age dependent branching processes. Stanford University Technical Report No. 94 Nonr 225(52) (NR 342–022).Google Scholar