Hostname: page-component-848d4c4894-xfwgj Total loading time: 0 Render date: 2024-06-16T23:51:53.306Z Has data issue: false hasContentIssue false

On the distribution of inanimate marks over a linear birth-and-death process

Published online by Cambridge University Press:  14 July 2016

Byron J. T. Morgan*
Affiliation:
University of Kent

Abstract

A detailed probabilistic treatment is given of a birth-and-death process proposed by Williams (1969) in which the elements of the process bear up to s inanimate marks. Equations for the second-order moments of the process, and approximate marginal univariate solutions, are derived. The exact bivariate solution is given for the case s = 1. For general s the variance of the mark population is also derived.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1974 

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

Clifford, P. and Sudbury, A. (1972) The linear cell-size-dependent branching process. J. Appl. Prob. 9, 687696.CrossRefGoogle Scholar
Gani, J. (1965) Stochastic models for bacteriophage. J. Appl. Prob. 2, 225268.CrossRefGoogle Scholar
Harris, T. E. (1963) The Theory of Branching Processes. Springer, Berlin.Google Scholar
Kendall, D. G. (1948) On the generalised ‘Birth-and-Death’ process. Ann. Math. Statist. 19, 115.Google Scholar
Meynell, G. G. (1959) Use of superinfecting phage for estimating the division rate of lysogenic bacteria in infected animals. J. Gen. Microbiol. 21, 421437.CrossRefGoogle Scholar
Morgan, B. J. T. (1971) On the solution of differential equations arising in some attachment models of virology. J. Appl. Prob. 8, 215221.Google Scholar
Piaggio, H. T. H. (1949) Differential Equations. Bell, London.Google Scholar
Williams, T. (1969) The distribution of inanimate marks over a non-homogeneous birth-death process. Biometrika 56, 225227.CrossRefGoogle Scholar