Analytical methods for dynamics modelers / edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood ; foreword by George Richardson.

"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...

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Bibliographic Details
Other Authors: Rahmandad, Hazhir (Editor), Oliva, Rogelio (Editor), Osgood, Nathaniel D., 1968-, Richardson, George P. (writer of foreword.)
Format: eBook
Language:English
Published: Cambridge, Massachusetts ; London, England : The MIT Press, [2015]
Subjects:
Online Access:Click for online access

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245 0 0 |a Analytical methods for dynamics modelers /  |c edited by Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood ; foreword by George Richardson. 
264 1 |a Cambridge, Massachusetts ;  |a London, England :  |b The MIT Press,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (xxvi, 416 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
505 0 |a Estimation of model parameters -- Parameter estimation through maximum likelihood and bootstrapping methods / Jeroen Struben, John Sterman, and David Keith -- Using the method of simulated moments for system identification / Mohammad S. Jalali, Hazhir Rahmandad, and Hamed Ghoddusi -- Simultaneous linear estimation using structural equation modeling / Peter S. Hovmand and Nishesh Chalise -- Working with noisy data : Kalman filtering and state resetting / Robert Eberlein -- Combining Markov chain Monte Carlo approaches and dynamic modeling / Nathaniel D. Osgood and Juxin Liu -- Pattern recognition for model testing, calibration, and behavior analysis / Gönenç Yücel and Yaman Barlas -- Linking structure to behavior using eigenvalue elasticity analysis / Rogelio Oliva -- An introduction to deterministic and stochastic optimization / Erling Moxnes -- Addressing dynamic decision problems using decision analysis and simulation / Nathatiel D. Osgood, Karen Yee, Wenyi An, and Winfried Grassmann -- Using decision trees to value managerial real options / Burcu Tan and Edward G. Anderson Jr. -- Optimal control for complex systems / Edward G. Anderson Jr. and Nitin R. Joglekar -- Modeling competing actors using differential games / Hazhir Rahmandad and Raymond J. Spiteri. 
520 3 |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." 
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