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Stochastic Population Models: A Compartmental Perspective

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Stochastic Population Models: A Compartmental Perspective Cover

 

Synopses & Reviews

Publisher Comments:

The book focuses on stochastic modeling of population processes. The book presents new symbolic mathematical software to develop practical methodological tools for stochastic population modeling. The book assumes calculus and some knowledge of mathematical modeling, including the use of differential equations and matrix algebra.

Description:

Includes bibliographical references (p. [189]-198) and index.

Table of Contents

Overview of Models.- Some Applications.- Basic Methodology for Single Population Stochastic Models.- Linear Immigration-Death Model.- Linear Birth-Immigration-Death Model.- Nonlinear Birth-Death Model.- A Nonlinear Birth-Immigration-Death Model.- Comparisons Among Single Population Growth Models.- Basic Methodology for Multiple Population Stochastic Models.- Linear Migration Models.- Basic Linear Growth Models.- Generalized Linear Growth Models.- Nonlinear Growth Models.

Product Details

ISBN:
9780387986579
Author:
Matis, James H.
Publisher:
Springer
Author:
Matis, James H.
Author:
Kiffe, Thomas R.
Author:
Matis, J. H.
Author:
Kiffe, T. R.
Location:
New York, NY
Subject:
General
Subject:
Statistics
Subject:
Stochastic processes
Subject:
Mathematical models
Subject:
Population biology
Subject:
Life Sciences - Ecology
Subject:
Probability & Statistics - General
Subject:
Stochastic processes -- Mathematical models.
Subject:
Population biology -- Mathematical models.
Subject:
Statistical Theory and Methods
Subject:
Environmental Studies-General
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Mathematical statistics
Copyright:
Edition Number:
1
Edition Description:
Softcover reprint of the original 1st ed. 2000
Series:
Lecture Notes in Statistics
Series Volume:
145
Publication Date:
20000615
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
212
Dimensions:
235 x 155 mm 690 gr

Related Subjects

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Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

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