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You searched IISERK - Subject: Population biology Statistical methods.
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Call Number
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519.2/33
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Author
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Kurtz, Thomas G.
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Title
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Approximation of population processes [electronic resource] / Thomas G. Kurtz.
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Publication
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Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 1981.
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Material Info.
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1 electronic text (75 p.) : digital file.
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Series
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CBMS-NSF regional conference series in applied mathematics ; 36
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Series
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CBMS-NSF regional conference series in applied mathematics ; 36.
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Summary Note
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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.
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Notes
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Includes bibliographical references (p. 73-75).
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Notes
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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.
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ISBN
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9781611970333 (electronic bk.)
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Subject
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Markov processes.
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Subject
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Branching processes.
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Subject
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Limit theorems (Probability theory)
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Subject
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Population processes
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Subject
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Diffusion approximation
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Subject
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Genetics
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Subject
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Epidemics
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Subject
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Weak convergence
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Subject
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Markov processes
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Subject
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Branching processes
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Subject
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Random time change
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Subject
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Measure valued processes
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Added Entry
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Society for Industrial and Applied Mathematics.
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Date
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Year, Month, Day:01405141
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Link
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SIAM
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