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Analytical methods for dynamics modelers

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"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."OCLC-licensed vendor bibliographic record.

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Series Title

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Call Number

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Publisher

: The MIT Press., 2015

Collation

1 online resource (xxvi, 416 pages) :illustrations

Language

English

ISBN/ISSN

0262331446

Classification

NONE

Content Type

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Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Simulation methods.
System analysis.

Specific Detail Info

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Statement of Responsibility

Hazhir Rahmandad, Rogelio Oliva, and Nathaniel D. Osgood; foreword by George Richardson.

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Source

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Validator

rudi h

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