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Workshop on Branching Processes and Their Applications
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Workshop on Branching Processes and Their Applications (EB) / edited by Miguel González Velasco, Inés M. Puerto, Rodrigo Martínez, Manuel Molina, Manuel Mota, Alfonso Ramos.
Author
González Velasco, Miguel
Added Personal Name
Puerto, Inés M.
Martínez, Rodrigo
Molina, Manuel
Mota, Manuel
Ramos, Alfonso
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer , 2010.
Physical Details
XX, 296p. : online resource.
Series
Lecture Notes in Statistics
0930-0325 ; ; 197
ISBN
9783642111563
Summary Note
This volume contains papers presented at the Workshop on Branching Processes and Their Applications (WBPA09). These papers deal with theoretical and practical aspects of branching process theory, showing it to be an area of active and interesting research. They clearly indicate the vitality of the theoretical research on this topic, as well as the importance of branching concepts in the development of theoretical approaches to solving new problems in applied fields such as Epidemiology, Cell Kinetics, Genetics, and, of course, Population Dynamics. The topics covered by the papers have been classified into the following areas: Population Growth Models in Random and Varying Environments Special Branching Processes Limit Theorems and Statistics Applications in Cell Kinetics and Genetics Applications in Epidemiology Two-Sex Branching Models This book represents a valuable reference on the contemporary branching processes theory, presenting also many open problems which will lead to future research.:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-11156-3
Links to Related Works
Subject References:
Distribution (Probability theory)
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Mathematical Statistics
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Probability theory and stochastic processes
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Statistical Theory and Methods
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Statistics
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Statistics for Life Sciences, Medicine, Health Sciences
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Authors:
editor
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González Velasco, Miguel
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Martínez, Rodrigo
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Molina, Manuel
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Mota, Manuel
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Puerto, Inés M.
.
Ramos, Alfonso
.
Corporate Authors:
SpringerLink (Online service)
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Series:
Lecture Notes in Statistics
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Classification:
519.5
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