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Business & Economics General

Analytical Methods for Dynamic Modelers

edited by Hazhir Rahmandad, Rogelio Oliva & Nathaniel D. Osgood

foreword by George Richardson

Publisher
MIT Press
Initial publish date
Nov 2015
Category
General, Data Modeling & Design
  • Hardback

    ISBN
    9780262029490
    Publish Date
    Nov 2015
    List Price
    $86.00

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Description

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

About the authors

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.

Hazhir Rahmandad's profile page

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.

Rogelio Oliva's profile page

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

Nathaniel D. Osgood's profile page

George Richardson's profile page