Title of article
Mixed Poisson approximation in the collective epidemic model
Author/Authors
Lefèvre، نويسنده , , Claude and Utev، نويسنده , , Sergei، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
Pages
30
From page
217
To page
246
Abstract
The collective epidemic model is a quite flexible model that describes the spread of an infectious disease of the Susceptible-Infected-Removed type in a closed population. A statistic of great interest is the final number of susceptibles who survive the disease. In the present paper, a necessary and sufficient condition is derived that guarantees the weak convergence of the law of this variable to a mixed Poisson distribution when the initial susceptible population tends to infinity, provided that the outbreak is severe in a certain sense. New ideas in the proof are the exploitation of a stochastic convex order relation and the use of a weak convergence theorem for products of i.i.d. random variables.
Keywords
Mixed Poisson approximation , Infinitely divisible distribution , Branching process , Stochastic convex order , Weak convergence of products of i.i.d. r.v.יs , Collective epidemic model , Final susceptible state , Generalized epidemic model
Journal title
Stochastic Processes and their Applications
Serial Year
1997
Journal title
Stochastic Processes and their Applications
Record number
1576114
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