System Dynamics Modeling with R (Record no. 59119)

000 -LEADER
fixed length control field 03660nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-319-34043-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112555.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160614s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319340432
-- 978-3-319-34043-2
082 04 - CLASSIFICATION NUMBER
Call Number 004
100 1# - AUTHOR NAME
Author Duggan, Jim.
245 10 - TITLE STATEMENT
Title System Dynamics Modeling with R
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 176 p. 54 illus., 46 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Social Networks,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-34043-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
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-- Decision making.
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-- Application software.
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-- Social sciences.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Methodology of the Social Sciences.
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-- Operation Research/Decision Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5428
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-- ZDB-2-SCS

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