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Extinction and Quasi-Stationarity in the Stochastic Logistic SIS Model
Details
This book presents 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. These are derived and then combined into uniform approximation.
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.
Includes supplementary material: sn.pub/extras
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642205293
- Sprache Englisch
- Auflage 2011
- Größe H235mm x B155mm x T12mm
- Jahr 2011
- EAN 9783642205293
- Format Kartonierter Einband
- ISBN 3642205291
- Veröffentlichung 06.07.2011
- Titel Extinction and Quasi-Stationarity in the Stochastic Logistic SIS Model
- Autor Ingemar Nåsell
- Untertitel Lecture Notes in Mathematics/Mathematical Biosciences Subseries 2022, Lecture No
- Gewicht 335g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 216
- Lesemotiv Verstehen
- Genre Mathematik