LEADER 03737nam 22006735 450 001 9910299769103321 005 20200629225557.0 010 $a3-319-21554-X 024 7 $a10.1007/978-3-319-21554-9 035 $a(CKB)3710000000466516 035 $a(EBL)4072039 035 $a(SSID)ssj0001546925 035 $a(PQKBManifestationID)16140821 035 $a(PQKBTitleCode)TC0001546925 035 $a(PQKBWorkID)14796343 035 $a(PQKB)10630933 035 $a(DE-He213)978-3-319-21554-9 035 $a(MiAaPQ)EBC4072039 035 $a(PPN)188459944 035 $a(EXLCZ)993710000000466516 100 $a20150820d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStochastic Population and Epidemic Models $ePersistence and Extinction /$fby Linda J. S. Allen 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (55 p.) 225 1 $aStochastics in Biological Systems,$x2364-2297 ;$v1.3 300 $aDescription based upon print version of record. 311 $a3-319-21553-1 320 $aIncludes bibliographical references and index. 327 $aContinuous-Time and Discrete-State Branching Processes -- Applications of Single-Type Branching Processes -- Applications of Multi-Type Branching Processes -- Continuous-Time and Continuous-State Branching Processes.-MatLaB Programs. 330 $aThis monograph provides a summary of the basic theory of branching processes for single-type and multi-type processes. Classic examples of population and epidemic models illustrate the probability of population or epidemic extinction obtained from the theory of branching processes. The first chapter develops the branching process theory, while in the second chapter two applications to population and epidemic processes of single-type branching process theory are explored. The last two chapters present multi-type branching process applications to epidemic models, and then continuous-time and continuous-state branching processes with applications. In addition, several MATLAB programs for simulating stochastic sample paths are provided in an Appendix. These notes originated as part of a lecture series on Stochastics in Biological Systems at the Mathematical Biosciences Institute in Ohio, USA. Professor Linda Allen is a Paul Whitfield Horn Professor of Mathematics in the Department of Mathematics and Statistics at Texas Tech University, USA. 410 0$aStochastics in Biological Systems,$x2364-2297 ;$v1.3 606 $aProbabilities 606 $aBiomathematics 606 $aEcology  606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aGenetics and Population Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31010 606 $aTheoretical Ecology/Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L19147 615 0$aProbabilities. 615 0$aBiomathematics. 615 0$aEcology . 615 14$aProbability Theory and Stochastic Processes. 615 24$aGenetics and Population Dynamics. 615 24$aTheoretical Ecology/Statistics. 676 $a519.234 700 $aAllen$b Linda J. S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755633 712 02$aMathematical Biosciences Institute at the Ohio State University. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299769103321 996 $aStochastic population and epidemic models$91522736 997 $aUNINA