大葉大學圖書館 |

System dynamics modeling with R[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	004.21
書名/作者:	System dynamics modeling with R/ by Jim Duggan.
作者:	Duggan, Jim.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xviii, 176 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	System analysis - Mathematical models.
標題:	R (Computer program language)
標題:	Computer Science.
標題:	Computer Appl. in Social and Behavioral Sciences.
標題:	Methodology of the Social Sciences.
標題:	Operation Research/Decision Theory.
ISBN:	9783319340432
ISBN:	9783319340418
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-34043-2

System dynamics modeling with R[electronic resource] /
Duggan, Jim.

System dynamics modeling with R[electronic resource] /by Jim Duggan. - Cham :Springer International Publishing :2016. - xviii, 176 p. :ill. (some col.), digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

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.

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.

ISBN: 9783319340432

Standard No.: 10.1007/978-3-319-34043-2doiSubjects--Topical Terms:

487631
System analysis
--Mathematical models.

LC Class. No.: QA402

Dewey Class. No.: 004.21

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