Analytical methods for dynamics modelers:
Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introd...
Gespeichert in:
Weitere beteiligte Personen: | , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge, Massachusetts
MIT Press
[2015]
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Schlagwörter: | |
Links: | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7347042 http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7347042 |
Zusammenfassung: | Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox.The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises.ContributorsWenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gonen Ycel |
Beschreibung: | Includes bibliographical references and index. - Mode of access: World Wide Web |
Umfang: | 1 Online-Ressource (448 pages) |
ISBN: | 9780262331449 |
Internformat
MARC
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520 | |a Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox.The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises.ContributorsWenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gonen Ycel | ||
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author2 | Rahmandad, Hazhir Oliva, Rogelio Osgood, Nathaniel D. 1968- |
author2_role | edt edt edt |
author2_variant | h r hr r o ro n d o nd ndo |
author_GND | (DE-588)1082451770 (DE-588)171913833 (DE-588)1082568740 |
author_facet | Rahmandad, Hazhir Oliva, Rogelio Osgood, Nathaniel D. 1968- |
building | Verbundindex |
bvnumber | BV044032165 |
classification_rvk | ST 340 |
collection | ZDB-37-IEM |
ctrlnum | (ZDB-37-IEM)7347042 (OCoLC)934610970 (DE-599)BVBBV044032165 |
dewey-full | 511/.8 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
dewey-raw | 511/.8 |
dewey-search | 511/.8 |
dewey-sort | 3511 18 |
dewey-tens | 510 - Mathematics |
discipline | Informatik Mathematik |
format | Electronic eBook |
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indexdate | 2024-12-20T17:51:49Z |
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isbn | 9780262331449 |
language | English |
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spelling | Analytical methods for dynamics modelers edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood Cambridge, Massachusetts MIT Press [2015] 1 Online-Ressource (448 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index. - Mode of access: World Wide Web Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox.The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises.ContributorsWenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gonen Ycel Simulation methods System analysis Dynamisches System (DE-588)4013396-5 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf System Dynamics (DE-588)4058802-6 gnd rswk-swf Electronic books (DE-588)4143413-4 Aufsatzsammlung gnd-content Dynamisches System (DE-588)4013396-5 s Modellierung (DE-588)4170297-9 s DE-604 System Dynamics (DE-588)4058802-6 s Computersimulation (DE-588)4148259-1 s Rahmandad, Hazhir (DE-588)1082451770 edt Oliva, Rogelio (DE-588)171913833 edt Osgood, Nathaniel D. 1968- (DE-588)1082568740 edt Erscheint auch als Druckausgabe 978-0-262-02949-0 http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7347042 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Analytical methods for dynamics modelers Simulation methods System analysis Dynamisches System (DE-588)4013396-5 gnd Modellierung (DE-588)4170297-9 gnd Computersimulation (DE-588)4148259-1 gnd System Dynamics (DE-588)4058802-6 gnd |
subject_GND | (DE-588)4013396-5 (DE-588)4170297-9 (DE-588)4148259-1 (DE-588)4058802-6 (DE-588)4143413-4 |
title | Analytical methods for dynamics modelers |
title_auth | Analytical methods for dynamics modelers |
title_exact_search | Analytical methods for dynamics modelers |
title_full | Analytical methods for dynamics modelers edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood |
title_fullStr | Analytical methods for dynamics modelers edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood |
title_full_unstemmed | Analytical methods for dynamics modelers edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood |
title_short | Analytical methods for dynamics modelers |
title_sort | analytical methods for dynamics modelers |
topic | Simulation methods System analysis Dynamisches System (DE-588)4013396-5 gnd Modellierung (DE-588)4170297-9 gnd Computersimulation (DE-588)4148259-1 gnd System Dynamics (DE-588)4058802-6 gnd |
topic_facet | Simulation methods System analysis Dynamisches System Modellierung Computersimulation System Dynamics Aufsatzsammlung |
url | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7347042 |
work_keys_str_mv | AT rahmandadhazhir analyticalmethodsfordynamicsmodelers AT olivarogelio analyticalmethodsfordynamicsmodelers AT osgoodnathanield analyticalmethodsfordynamicsmodelers |