Title of article
Abel-Gontcharoff pseudopolynomials and the exact final outcome of SIR epidemic models (III).
Author/Authors
Picard، Philippe نويسنده , , Lefèvre، Claude نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1999
Pages
-531
From page
532
To page
0
Abstract
The paper is concerned with the final state and severity of a number of SIR epidemic models in finite populations. Two different classes of models are considered, namely the classical SIR Markovian models and the collective models introduced recently by the authors. First, by applying a simple martingale argument, it is shown that in both cases, there exists a common algebraic structure underlying the exact law of the final state and severity. Then, a unified approach to these statistics is developed by exploiting the theory of Abel-Gontcharoff pseudopolynomials (presented in a preceding paper).
Keywords
Non-Cramér type conditions , subexponential distributions , network multiplexer , fluid flow queue , long-range dependency , long-tailed distributions , M/G/(infinity) queue
Journal title
Advances in Applied Probability
Serial Year
1999
Journal title
Advances in Applied Probability
Record number
81194
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