Approximation of population processes /

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Bibliographic Details
Author / Creator:Kurtz, Thomas G.
Imprint:Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 1981.
Description:1 online resource (75 pages)
Language:English
Series:CBMS-NSF regional conference series in applied mathematics ; 36
CBMS-NSF regional conference series in applied mathematics ; 36.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577336
Hidden Bibliographic Details
Other authors / contributors:Society for Industrial and Applied Mathematics.
ISBN:9781611970333
1611970334
089871169X
9780898711691
Notes:Title from title screen, viewed 04/05/2011.
Includes bibliographical references (pages 73-75).
Restricted to subscribers or individual electronic text purchasers.
Also available in print version.
Summary:Population processes are stochastic models for systems involving a number of similar particles. Examples include models for chemical reactions and for epidemics. The model may involve a finite number of attributes, or even a continuum. This monograph considers approximations that are possible when the number of particles is large. The models considered will involve a finite number of different types of particles.
Other form:Print version: 089871169X 9780898711691

MARC

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245 1 0 |a Approximation of population processes /  |c Thomas G. Kurtz. 
260 |a Philadelphia, Pa. :  |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),  |c 1981. 
300 |a 1 online resource (75 pages) 
336 |a text  |b txt  |2 rdacontent  |0 http://id.loc.gov/vocabulary/contentTypes/txt 
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490 1 |a CBMS-NSF regional conference series in applied mathematics ;  |v 36 
500 |a Title from title screen, viewed 04/05/2011. 
504 |a Includes bibliographical references (pages 73-75). 
505 0 |a Weak convergence -- Markov Processes and their generators -- Convergence to Markov processes -- Diffusion approximations -- Branching Markov processes -- Markov processes as random time changes -- Approximations of density dependent jump Markov processes -- Epidemic models -- Random replication with errors. 
506 |a Restricted to subscribers or individual electronic text purchasers. 
520 3 |a Population processes are stochastic models for systems involving a number of similar particles. Examples include models for chemical reactions and for epidemics. The model may involve a finite number of attributes, or even a continuum. This monograph considers approximations that are possible when the number of particles is large. The models considered will involve a finite number of different types of particles. 
530 |a Also available in print version. 
650 0 |a Markov processes.  |0 http://id.loc.gov/authorities/subjects/sh85081369 
650 0 |a Branching processes.  |0 http://id.loc.gov/authorities/subjects/sh85016395 
650 0 |a Limit theorems (Probability theory)  |0 http://id.loc.gov/authorities/subjects/sh85077023 
650 7 |a Branching processes.  |2 fast  |0 (OCoLC)fst00837866 
650 7 |a Limit theorems (Probability theory)  |2 fast  |0 (OCoLC)fst00998881 
650 7 |a Markov processes.  |2 fast  |0 (OCoLC)fst01010347 
653 |a Population processes 
653 |a Diffusion approximation 
653 |a Genetics 
653 |a Epidemics 
653 |a Weak convergence 
653 |a Markov processes 
653 |a Branching processes 
653 |a Random time change 
653 |a Measure valued processes 
655 4 |a Electronic books. 
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