Hostname: page-component-77c89778f8-rkxrd Total loading time: 0 Render date: 2024-07-23T02:33:29.365Z Has data issue: false hasContentIssue false

Stochastic modelling in CSIRO: two examples*

Published online by Cambridge University Press:  17 April 2009

I.W. Saunders
Affiliation:
Division of Mathematics and Statistics, CSIRO, PO Box 310, South Melbourne, Victoria 3205, Australia.
Rights & Permissions [Opens in a new window]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Australian Mathematical Society Applied Mathematics Conference
Copyright
Copyright © Australian Mathematical Society 1982

References

[1]Bailey, Norman J.F., The mathematical theory of infectious diseases and its applications, second edition (Griffin, London; Hafner [Macmillan], New York; 1975).Google Scholar
[2]Johnson, Norman L., Kotz, Samuel, Urn models and their application. An approach to modern discrete probability theory (John Wiley & Sons, New York, London, Sydney, 1977).Google Scholar
[3]Kendall, W. and Saunders, I.W., “Epidemics in competition II: the general epidemic”, submitted.Google Scholar
[4]Saunders, I.W., “A model for myxomatosis”, Math. Biosci. 48 (1980), 115.Google Scholar
[5]Saunders, I.W., “Epidemics in competition”, J. Math. Biol. 11 (1981), 311318.CrossRefGoogle ScholarPubMed
[6]Saunders, I.W. and Lwin, T., “Sampling schemes for quality estimation of a flowing material”, Internat. J. Mineral Process. (to appear).Google Scholar