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Factorial moments and probabilities for the general stochastic epidemic

Published online by Cambridge University Press:  14 July 2016

L. Billard*
Affiliation:
State University of New York at Buffalo
*
*Now at the University of Waterloo, Ontario.

Abstract

By an appropriate partitioning of the matrix of coefficients in the system of differential difference equations for the general stochastic epidemic, the nature of the state probabilities is shown to consist of combinations of factorial terms. Further, factorial moments are readily obtained. In particular, the mean and variance of the number of susceptibles are derived.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1973 

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References

Bailey, N. T. J. (1957) The Mathematical Theory of Epidemics. Griffin, London.Google Scholar
Bartlett, M. S. (1949) Some evolutionary stochastic processes. J. R. Statist. Soc. B 11, 211222.Google Scholar
Gani, J. (1965) On a partial differential equation of epidemic theory, I. Biometrika 52, 617622.Google Scholar
Severo, N. C. (1967) Two theorems on solutions of differential-difference equations and applications to epidemic theory. J. Appl. Prob. 4, 271280.Google Scholar
Severo, N. C. (1969) A recursion theorem on solving differential-difference equations and applications to some stochastic processes. J. Appl. Prob. 6, 673681.Google Scholar
Siskind, V. (1965) A solution of the general stochastic epidemic. Biometrika 52, 613616.Google Scholar