Office of Academic Resources
Chulalongkorn University
Chulalongkorn University

Home / Help

TitleStochastic Population Models [electronic resource] : A Compartmental Perspective / edited by James H. Matis, Thomas R. Kiffe
ImprintNew York, NY : Springer New York, 2000
Connect tohttp://dx.doi.org/10.1007/978-1-4612-1244-7
Descript X, 202 p. 4 illus. online resource

SUMMARY

This monograph has been heavily influenced by two books. One is Renยญ shaw's [82] work on modeling biological populations in space and time. It was published as we were busily engaged in modeling African bee dispersal, and provided strong affirmation for the stochastic basis for our ecological modeling efforts. The other is the third edition of Jacquez' [28] classic book on compartmental analysis. He reviews stochastic compartmental analysis and utilizes generating functions in this edition to derive many useful reยญ sults. We interpreted Jacquez' use of generating functions as a message that the day had come for modeling practioners to consider using this powerful approach as a model-building tool. We were inspired by the idea of using generating functions and related methods for two purposes. The first is to integrate seamlessly our previous research centering in stochastic comยญ partmental modeling with our more recent research focusing on stochastic population modeling. The second, related purpose is to present some key research results of practical application in a natural, user-friendly way to the large user communities of compartmental and biological population modelers. One general goal of this monograph is to make a case for the practical utility of the various stochastic population models. In accordance with this objective, we have chosen to illustrate the various stochastic models, using four primary applications described in Chapter 2. In so doing, this monoยญ graph is based largely on our own published work


CONTENT

I Introduction -- 1. Overview of Models -- 2. Some Applications -- II Models for a Single Population -- 3. Basic Methodology for Single Population Stochastic Models -- 4. Linear Immigration-Death Models -- 5. Linear Birth-Immigration-Death Models -- 6. Nonlinear Birth-Death Models -- III Models for Multiple Populations -- 7. Nonlinear Birth-Immigration-Death Models -- 8. Standard Multiple Compartment Analysis -- 9. Basic Methodology for Multiple Population Stochastic Models -- 10. Linear Death-Migration Models -- 11. Linear Immigration-Death-Migration Models -- 12. Linear Birth-Immigration-Death-Migration Models -- 13. Nonlinear Birth-Death-Migration Models -- 14. Nonlinear Host-Parasite Models -- References


Statistics Statistics Statistical Theory and Methods



Location



Office of Academic Resources, Chulalongkorn University, Phayathai Rd. Pathumwan Bangkok 10330 Thailand

Contact Us

Tel. 0-2218-2929,
0-2218-2927 (Library Service)
0-2218-2903 (Administrative Division)
Fax. 0-2215-3617, 0-2218-2907

Social Network

  line

facebook   instragram