Title of article :
The asymptotic final size distribution of multitype chain-binomial epidemic processes
Author/Authors :
Andersson، Mikael نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1999
Pages :
-21
From page :
22
To page :
0
Abstract :
A multitype chain-binomial epidemic process is defined for a closed finite population by sampling a simple multidimensional counting process at certain points. The final size of the epidemic is then characterized, given the counting process, as the smallest root of a non-linear system of equations. By letting the population grow, this characterization is used, in combination with a branching process approximation and a weak convergence result for the counting process, to derive the asymptotic distribution of the final size. This is done for processes with an irreducible contact structure both when the initial infection increases at the same rate as the population and when it stays fixed.
Keywords :
Joint convergence in distribution , Order statistics , threshold strategies , Poisson random measures , counting r.v.s , continuous mapping principle , strong approximations , Brownian bridge , on-line vs off-line strategies , extreme sums
Journal title :
Advances in Applied Probability
Serial Year :
1999
Journal title :
Advances in Applied Probability
Record number :
81175
Link To Document :
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