Mixed Poisson approximation in the collective epidemic model

被引:8
作者
Lefevre, C [1 ]
Utev, S [1 ]
机构
[1] LA TROBE UNIV, DEPT MATH & STAT, SCH STAT SCI, BUNDOORA, VIC 3083, AUSTRALIA
关键词
collective epidemic model; final susceptible state; generalized epidemic model; mixed Poisson approximation; infinitely divisible distribution; branching process; stochastic convex order; weak convergence of products of i.i.d. r.v.'s; THRESHOLD LIMIT-THEOREMS;
D O I
10.1016/S0304-4149(97)00050-1
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:217 / 246
页数:30
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