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Series expansions for the properties of a birth process of controlled variability

Published online by Cambridge University Press:  14 July 2016

D. R. Cox
Affiliation:
Imperial College London
V. Isham
Affiliation:
Imperial College London

Abstract

A birth process is studied in which the birth rate at any time is a function of the difference between the current population size and a target corresponding to unit growth rate. If this controlling function is a decreasing function of its argument a stabilizing effect is to be expected. By supposing that the controlling function varies very slowly, series expansions for the properties of the process are obtained, the leading term corresponding to a diffusion approximation. The sequence of births considered as a point process of controlled variability is examined and approximations to the interval distribution and covariance density obtained.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1978 

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References

Isham, V. and Westcott, M. (1978) A self-correcting point process. Submitted for publication.Google Scholar
Lewis, T. and Govier, L. J. (1964) Some properties of counts of events for certain types of point process. J. R. Statist. Soc. B 26, 325337.Google Scholar
Mcneil, D. R. and Schach, S. (1973) Central limit analogues for Markov population processes (with discussion). J. R. Statist. Soc. B 35, 123.Google Scholar
Takács, L. (1955) Investigation of waiting time problems by reduction to Markov processes. Acta. Math. Acad. Sci. Hungar. 6, 101129.Google Scholar