Skip to content
MIT Press
  • MIT Press
  • Books
    • Column
      • View all subjects
      • New releases
      • Catalogs
      • Textbooks
      • Series
      • Awards
    • Column
      • Authors
      • Distributed presses
      • The MIT Press Reader
      • Podcasts
      • Collections
    • Column
      • MIT Press Direct

        MIT Press Direct is a distinctive collection of influential MIT Press books curated for scholars and libraries worldwide.

        • Learn more
  • Journals
    • column
      • Journals all topics
      • Economics
      • International Affairs, History, & Political Science
    • column
      • Arts & Humanities
      • Science & Technology
      • Open access
    • column
      • MIT Press journals

        MIT Press began publishing journals in 1970 with the first volumes of Linguistic Inquiry and the Journal of Interdisciplinary History. Today we publish over 30 titles in the arts and humanities, social sciences, and science and technology.

        • Learn more
  • Open Access
    • column
      • Open access at the MIT Press
      • Open access books
      • Open access journals
    • column
      • Direct to Open
      • MIT Open Publishing Services
      • MIT Press Open on PubPub
    • Column
      • Open access

        The MIT Press has been a leader in open access book publishing for over two decades, beginning in 1995 with the publication of William Mitchell’s City of Bits, which appeared simultaneously in print and in a dynamic, open web edition.

        • Learn more
  • Info for
    • column
      • Current authors
      • Prospective authors
      • Instructors
    • column
      • Media inquiries
      • Booksellers
      • Rights and permissions
    • column
      • Resources

        Collaborating with authors, instructors, booksellers, librarians, and the media is at the heart of what we do as a scholarly publisher. If you can’t find the resource you need here, visit our contact page to get in touch.

        • Learn more
  • Give
  • About
    • Column
      • About
      • Jobs
      • Internships
      • MIT Press Editorial Board
      • MIT Press Management Board
      • Our MIT story
    • Column
      • Catalogs
      • News
      • Events
      • Conferences
      • Bookstore
    • Column
      • The MIT Press

        Established in 1962, the MIT Press is one of the largest and most distinguished university presses in the world and a leading publisher of books and journals at the intersection of science, technology, art, social science, and design.

        • Learn more
  • Contact Us
Newsletter
MIT Press
Newsletter

Books

    Authors

      On the site

        • Home
        • computers
        • business & economics
        • Analytical Methods for Dynamic Modelers
        Analytical Methods for Dynamic Modelers

        Analytical Methods for Dynamic Modelers

        Edited by Hazhir Rahmandad, Rogelio Oliva and Nathaniel D. Osgood

        Foreword by George Richardson

        • $65.00 Hardcover
        • Rent eTextbook

        448 pp., 6 x 9 in, 117 figures, 45 tables

        • Hardcover
        • 9780262029490
        • Published: November 13, 2015
        • Publisher: The MIT Press

        $65.00

        • MIT Press Bookstore
        • Penguin Random House
        • Amazon
        • Barnes and Noble
        • Bookshop.org
        • Indiebound
        • Indigo
        • Books a Million

        Other Retailers:

        • MIT Press Bookstore
        • Penguin Random House
        • Amazon
        • Barnes and Noble
        • Bookshop.org
        • Indiebound
        • Indigo
        • Books a Million
        • Amazon.co.uk
        • Blackwells
        • Bookshop.org
        • Foyles
        • Hive
        • Waterstones
        • Request exam/desk copy
        • Request permissions
        • Description
        • Author(s)
        • Praise
        • Resources

        A user-friendly introduction to some of the most useful analytical tools for model building, estimation, and analysis, presenting key methods and examples.

        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.

        Contributors
        Wenyi 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, Gönenç Yücel

        Hazhir Rahmandad is Albert and Jeanne Clear Career Development Professor of Management and Assistant Professor of System Dynamics at the MIT Sloan School of Management.

        Rogelio Oliva is Associate Professor and Ford Faculty Fellow in the Department of Information and Operations Management at Mays Business School at Texas A&M University.

        Nathaniel D. Osgood is Associate Professor of Computer Science at the University of Saskatchewan.

        With contributions from an array of skilled modelers, this carefully edited collection presents the state of the art in computational methods for model calibration, estimation, behavior analysis, and optimization. Much more than a survey, the book provides an intuitive introduction to each method; worked-through examples; and a glimpse of the history behind key ideas. All serious users of simulation models, whether graduate students or professionals, can learn from this timely volume.

        John Morecroft, Senior Fellow, Management Science and Operations, London Business School

        Impressive in the diversity of analytical approaches it brings to bear. This collection adroitly extends the capabilities of the system dynamics field, making dynamic modeling more credible, more powerful, more compelling, and, ultimately, more relevant for policy analysis. A significant and unique contribution to the literature. Admirable!

        David C. Lane FORS, Professor of Business Informatics, Henley Business School; winner of the Jay Wright Forrester Award (2007) and of the Operational Research Society's President's Medal (2014)

        Online Appendix

        Related Books

        Probability Models for Economic Decisions
        Managing Risk and Uncertainty
        logo
        • Column 1
          • Books
          • Journals
          • The MIT Press Reader
          • Podcasts
          • Imprints
        • Column 2
          • The MIT Press
            • About
            • Bookstore
            • Catalogs
            • Conferences
            • Press Editorial Board
            • Jobs
            • Internships
            • Press Management Board
            • News
            • Staff
            • Code of Conduct
            • Give
        • Column 3
          • Site Help
            • Accessibility
            • FAQ
            • Our eBooks
            • Privacy Policy
            • Terms of Use
        • Column 4
          • Resources
            • Current Authors
            • Prospective Authors
            • Booksellers
            • Instructors
            • Rights and Permissions
            • Media Inquiries
            • MIT Discounts
        • Column 5
          • Digital
            • CogNet
            • Digital Partners and Products
            • Knowledge Futures Group
            • MIT Press Direct
        • Global

          One Broadway 12th Floor Cambridge, MA 02142

        • Contact

        Connect

        © 2023 MIT Press. All Rights Reserved.

        Powered by Supadu