Articles liés à System Dynamics Modeling With R
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- ÉditeurSpringer International Publishing AG
- Date d'édition2018
- ISBN 10 3319816632
- ISBN 13 9783319816630
- ReliureBroché
- Nombre de pages176
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System Dynamics Modeling with R
Edité par
Springer International Publishing Mai 2018
(2018)
ISBN 10 : 3319816632
ISBN 13 : 9783319816630
Neuf
Taschenbuch
Quantité disponible : 2
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Evaluation vendeur
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. N° de réf. du vendeur 9783319816630
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System Dynamics Modeling with R (Lecture Notes in Social Networks)
Edité par
Springer
(2018)
ISBN 10 : 3319816632
ISBN 13 : 9783319816630
Neuf
Paperback
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Description du livre Paperback. Etat : New. New. book. N° de réf. du vendeur D8F0-0-M-3319816632-6
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System Dynamics Modeling with R
Edité par
Springer International Publishing
(2018)
ISBN 10 : 3319816632
ISBN 13 : 9783319816630
Neuf
Couverture souple
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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive list of model solutions in Vensim and RProvides Powerpoint slides appropriate for lecture usageBroadens the base of the potential audience by including disaggregate diffusion models and statistical screeningAttractive fo. N° de réf. du vendeur 458622023
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EUR 101,04
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System Dynamics Modeling with R
Edité par
Springer International Publishing
(2018)
ISBN 10 : 3319816632
ISBN 13 : 9783319816630
Neuf
Taschenbuch
Quantité disponible : 1
Vendeur :
Evaluation vendeur
Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319816630
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EUR 120,01
Autre devise