9783319340418-3319340417-System Dynamics Modeling with R (Lecture Notes in Social Networks)

System Dynamics Modeling with R (Lecture Notes in Social Networks)

ISBN-13: 9783319340418
ISBN-10: 3319340417
Edition: 1st ed. 2016
Author: Duggan, Jim
Publication date: 2016
Publisher: Springer
Format: Hardcover 194 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9783319340418
ISBN-10: 3319340417
Edition: 1st ed. 2016
Author: Duggan, Jim
Publication date: 2016
Publisher: Springer
Format: Hardcover 194 pages

Summary

Acknowledged authors Duggan, Jim wrote System Dynamics Modeling with R (Lecture Notes in Social Networks) comprising 194 pages back in 2016. Textbook and eTextbook are published under ISBN 3319340417 and 9783319340418. Since then System Dynamics Modeling with R (Lecture Notes in Social Networks) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book