System dynamics modeling with R [electronic resource] / Jim Duggan.
2016
QA402
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Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
System dynamics modeling with R [electronic resource] / Jim Duggan.
Author
ISBN
9783319340432 (electronic book)
3319340433 (electronic book)
9783319340418
3319340433 (electronic book)
9783319340418
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xviii, 176 pages) : illustrations.
Call Number
QA402
Dewey Decimal Classification
004.2/1
Summary
This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author's course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLInk, viewed June 28, 2016).
Series
Lecture notes in social networks.
Linked Resources
Record Appears in
Table of Contents
An Introduction to System Dynamics
An Introduction to R
Modeling Limits to Growth
Higher Order Models
Diffusion Models
Model Testing
Model Analysis and Calibration
Appendix A: Installing R and R Studio.
An Introduction to R
Modeling Limits to Growth
Higher Order Models
Diffusion Models
Model Testing
Model Analysis and Calibration
Appendix A: Installing R and R Studio.