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Herausgeber: 
  • Manuel Molina
  • Manuel Mota
  • Inés M. del Puerto
  • Rodrigo Martínez
  • Alfonso Ramos
  • Miguel González
  • Cristina Gutiérrez
  • Carmen Minuesa
  • Branching Processes and Their Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2016  
    Genre:  Schulbücher 
     
    Applied mathematics / B / Biomathematics / Epidemiology & medical statistics / Genetics and Population Dynamics / Mathematics and Statistics / Population Genetics / Probabilities
    ISBN:  9783319316390 
    EAN-Code: 
    9783319316390 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #219 - Lecture Notes in Statistics
    Lecture Notes in Statistics - Proceedings  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  718 gr 
    Seiten:  332 
    Illustration:  XVI, 332 p. 29 illus., 4 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This volume gathers papers originally presented at the 3rd Workshop on Branching Processes and their Applications (WBPA15), which was held from 7 to 10 April 2015 in Badajoz, Spain (http://branching.unex.es/wbpa15/index.htm). The papers address a broad range of theoretical and practical aspects of branching process theory. Further, they amply demonstrate that the theoretical research in this area remains vital and topical, as well as the relevance of branching concepts in the development of theoretical approaches to solving new problems in applied fields such as Epidemiology, Biology, Genetics, and, of course, Population Dynamics. The topics covered can broadly be classified into the following areas: 1. Coalescent Branching Processes 2. Branching Random Walks 3. Population Growth Models in Varying and Random Environments 4. Size/Density/Resource-Dependent Branching Models 5. Age-Dependent Branching Models 6. Special Branching Models 7. Applications in Epidemiology 8. Applications in Biology and Genetics Offering a valuable reference guide to contemporary branching process theory, the book also explores many open problems, paving the way for future research.

      



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