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Extinction and Quasi-Stationarity in the Stochastic Logistic SIS Model / by Ingemar Nåsell
(Mathematical Biosciences Subseries. ISSN:2524678X ; 2022)
版 | 1st ed. 2011. |
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出版者 | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
出版年 | 2011 |
大きさ | XI, 199 p. 10 illus. in color : online resource |
著者標目 | *Nåsell, Ingemar author SpringerLink (Online service) |
件 名 | LCSH:Probabilities LCSH:Life sciences FREE:Probability Theory FREE:Life Sciences |
一般注記 | 1 Introduction -- 2 Model Formulation -- 3 A Birth-Death Process with Finite State Space and with an Absorbing State at the Origin -- 4 The SIS Model: First Approximations of the Quasi-Stationary Distribution -- 5 Some Approximations Involving the Normal Distribution -- 6 Preparations for the Study of the Stationary Distribution p(1) of the SIS Model -- 7 Approximation of the Stationary Distribution p(1) of the SIS Model -- 8 Preparations for the Study of the Stationary Distribution p(0) of the SIS Model -- 9 Approximation of the Stationary Distribution p(0) of the SIS Model -- 10 Approximation of Some Images UnderY for the SIS Model -- 11 Approximation of the Quasi-Stationary Distribution q of the SIS Model -- 12 Approximation of the Time to Extinction for the SIS Model -- 13 Uniform Approximations for the SIS Model -- 14 Thresholds for the SIS Model -- 15 Concluding Comments This volume presents explicit approximations of the quasi-stationary distribution and of the expected time to extinction from the state one and from quasi-stationarity for the stochastic logistic SIS model. The approximations are derived separately in three different parameter regions, and then combined into a uniform approximation across all three regions. Subsequently, the results are used to derive thresholds as functions of the population size N HTTP:URL=https://doi.org/10.1007/978-3-642-20530-9 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783642205309 |
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EB00211175 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
書誌ID | 4000117083 |
ISBN | 9783642205309 |
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※2017年9月4日以降