Tools and Techniques for Social Science Simulation

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642517447
Total Pages : 388 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Tools and Techniques for Social Science Simulation by : Ramzi Suleiman

Download or read book Tools and Techniques for Social Science Simulation written by Ramzi Suleiman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.

Tools and Techniques for Social Science Simulation

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Author :
Publisher : Physica
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Tools and Techniques for Social Science Simulation by : Ramzi Suleiman

Download or read book Tools and Techniques for Social Science Simulation written by Ramzi Suleiman and published by Physica. This book was released on 2000-02-11 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of soical science simulation as a tool for modelling and theory building. It is shown how simulation may be applied to the analysis of social and economic problems using techniques such as multi-agent simulation, cellular automata and multi-level modelling. Particular attention is paid to the sensitivity analysis of model parameters. The book also describes the architecture and user interfaces of several simulation tools. The book is based on an international conference that brought together social scientists and computer scientists engaged in a wide range of simulation approaches. It represents a report on the state of the art in social science simulation.

Monte Carlo Simulation and Resampling Methods for Social Science

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Author :
Publisher : SAGE Publications
ISBN 13 : 1483324923
Total Pages : 304 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Simulation For The Social Scientist

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Author :
Publisher : McGraw-Hill Education (UK)
ISBN 13 : 0335216005
Total Pages : 309 pages
Book Rating : 4.3/5 (352 download)

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Book Synopsis Simulation For The Social Scientist by : Gilbert, Nigel

Download or read book Simulation For The Social Scientist written by Gilbert, Nigel and published by McGraw-Hill Education (UK). This book was released on 2005-02-01 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

Multi-Method Social Science

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1107097711
Total Pages : 247 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Multi-Method Social Science by : Jason Seawright

Download or read book Multi-Method Social Science written by Jason Seawright and published by Cambridge University Press. This book was released on 2016-09-08 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the first systematic guide to designing multi-method research, considering a wide range of statistical and qualitative tools.

Monte Carlo Simulation

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Author :
Publisher : SAGE
ISBN 13 : 9780803959439
Total Pages : 116 pages
Book Rating : 4.9/5 (594 download)

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Book Synopsis Monte Carlo Simulation by : Christopher Z. Mooney

Download or read book Monte Carlo Simulation written by Christopher Z. Mooney and published by SAGE. This book was released on 1997-04-07 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at researchers across the social sciences, this book explains the logic behind the Monte Carlo simulation method and demonstrates its uses for social and behavioural research.

Monte Carlo Simulation and Resampling Methods for Social Science

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Author :
Publisher : SAGE Publications
ISBN 13 : 1483313476
Total Pages : 305 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Social Science Research

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Author :
Publisher : CreateSpace
ISBN 13 : 9781475146127
Total Pages : 156 pages
Book Rating : 4.1/5 (461 download)

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Book Synopsis Social Science Research by : Anol Bhattacherjee

Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Social Simulation

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 414 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Social Simulation by : Bruce Edmonds

Download or read book Social Simulation written by Bruce Edmonds and published by IGI Global. This book was released on 2008 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book, a reference survey of social simulation work comprehensively collects the most exciting developments in the field. Drawing research contributions from a vibrant community of experts on social simulation, it provides a set of unique and innovative approaches, ranging from agent-based modeling to empirically based simulations, as well as applications in business, governmental, scientific, and other contexts"--Provided by publisher.

Maximum Likelihood for Social Science

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1107185823
Total Pages : 327 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Maximum Likelihood for Social Science by : Michael D. Ward

Download or read book Maximum Likelihood for Social Science written by Michael D. Ward and published by Cambridge University Press. This book was released on 2018-11-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Handbook of Research Methods and Applications in Spatially Integrated Social Science

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Author :
Publisher : Edward Elgar Publishing
ISBN 13 : 0857932977
Total Pages : 680 pages
Book Rating : 4.8/5 (579 download)

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Book Synopsis Handbook of Research Methods and Applications in Spatially Integrated Social Science by : Robert Stimson

Download or read book Handbook of Research Methods and Applications in Spatially Integrated Social Science written by Robert Stimson and published by Edward Elgar Publishing. This book was released on 2014-07-31 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and bu

The Monte Carlo Methods

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1839687592
Total Pages : 234 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis The Monte Carlo Methods by : Abdo Abou Jaoudé

Download or read book The Monte Carlo Methods written by Abdo Abou Jaoudé and published by BoD – Books on Demand. This book was released on 2022-03-09 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of experiments with random numbers. This name, after the casino at Monaco, was first applied around 1944 to the method of solving deterministic problems by reformulating them in terms of a problem with random elements, which could then be solved by large-scale sampling. But, by extension, the term has come to mean any simulation that uses random numbers. Monte Carlo methods have become among the most fundamental techniques of simulation in modern science. This book is an illustration of the use of Monte Carlo methods applied to solve specific problems in mathematics, engineering, physics, statistics, and science in general.

Interdisciplinary Applications of Agent-Based Social Simulation and Modeling

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Author :
Publisher : IGI Global
ISBN 13 : 1466659556
Total Pages : 402 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Interdisciplinary Applications of Agent-Based Social Simulation and Modeling by : Adamatti, Diana Francisca

Download or read book Interdisciplinary Applications of Agent-Based Social Simulation and Modeling written by Adamatti, Diana Francisca and published by IGI Global. This book was released on 2014-04-30 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social simulation can be a difficult discipline to encompass fully. There are many methods, models, directions, and theories that can be discussed and applied to various social sciences. Anthropology, sociology, political science, economy, government, and management can all benefit from social simulation. Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic. This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for researchers in this field, professionals using social simulation, and even students studying this discipline.

Intelligent Applications in a Material World Select Papers from IPMM-2001

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Author :
Publisher : CRC Press
ISBN 13 : 9780849314933
Total Pages : 986 pages
Book Rating : 4.3/5 (149 download)

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Book Synopsis Intelligent Applications in a Material World Select Papers from IPMM-2001 by : John A. Meech

Download or read book Intelligent Applications in a Material World Select Papers from IPMM-2001 written by John A. Meech and published by CRC Press. This book was released on 2002-11-18 with total page 986 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence in a Materials World contains 87 refereed papers selected from those presented at the Third International Conference on Intelligent Processing and Manufacturing of Materials. The contents span the full scope of the field of materials production and manufacturing from all parts of the world. The focus of this book is on practical applications of intelligent hardware and software. Topics include: New Intelligent Software Methods and Models Production of Raw Materials Biologically-Inspired Systems Simulation and Design of New Materials Atomistic and Electronic Modeling Web-based Design Metrology and Instrumentation Intelligent Manufacturing Systems Agent-based Large-Scale System Simulation Environmental Systems Planning and Scheduling Applications in Space Exploration Financial Transactions Materials Forming Rolling and Sheet Metal Systems Machining and Finishing Processes Language Recognition and Communication Cross-Disciplinary Research This book is an essential reference tool for individuals interested in applying state-of-the-art artificial Intelligence and its related modeling methods within areas that deal with materials production and manufacturing, from raw materials and ore to final consumer products. IPMM is an organization of over 400 individuals from over 45 countries who come together every two years to share in new ideas and applications that use intelligence (artificial or otherwise) to achieve new designs, novel planning methods, improved system optimization techniques, advanced process control or monitoring methods in different fields dealing with material science and engineering.

The Computer Simulation of Monté Carlo Methods and Random Phenomena

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Author :
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527524264
Total Pages : 306 pages
Book Rating : 4.5/5 (275 download)

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Book Synopsis The Computer Simulation of Monté Carlo Methods and Random Phenomena by : Abdo Abou Jaoudé

Download or read book The Computer Simulation of Monté Carlo Methods and Random Phenomena written by Abdo Abou Jaoudé and published by Cambridge Scholars Publishing. This book was released on 2019-01-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes algorithms that illustrate the famous Monté Carlo Methods and the computer simulation of stochastic experiments in the areas of random numbers generation, the simulation of random phenomena, the computation of Pi and e (the base of logarithms), both simple and multiple integration, the computation of areas and volumes, probability and statistical distributions, in addition to an introduction to the novel Complex Probability Paradigm. As such, it will be of interest to all scholars, researchers, and undergraduate and graduate students in mathematics, computer science, and science in general.

Quantitative Methods in Tourism

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Author :
Publisher : Channel View Publications
ISBN 13 : 184541621X
Total Pages : 172 pages
Book Rating : 4.8/5 (454 download)

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Book Synopsis Quantitative Methods in Tourism by : Rodolfo Baggio

Download or read book Quantitative Methods in Tourism written by Rodolfo Baggio and published by Channel View Publications. This book was released on 2017-07-06 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this revised second edition, Baggio and Klobas build upon the work of their previous volume, offering a presentation of quantitative research methods for tourism researchers. This accessible and rigorous guide goes beyond the approaches usually covered in introductory textbooks on quantitative methods to consider useful techniques for statistical inquiry into tourism matters of all but the most econometrically complex kind. The first part of the book concerns common issues in statistical analysis of data and the most widely-used techniques, while the second part describes and discusses several newer and less common approaches to data analysis that are valuable for tourism researchers and analysts. Updates to the second edition include: • a new chapter on “Big Data” • consideration of data screening and cleaning • the use of similarity and diversity indexes for comparing samples • observations about the partial least squares (PLS) approach to path modelling • a new section on multi-group structural equation modelling • a new section on common method variance and its treatment • revised and updated section on software • fully updated references and examples

Formal Languages for Computer Simulation: Transdisciplinary Models and Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1466643706
Total Pages : 458 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Formal Languages for Computer Simulation: Transdisciplinary Models and Applications by : Fonseca i Casas, Pau

Download or read book Formal Languages for Computer Simulation: Transdisciplinary Models and Applications written by Fonseca i Casas, Pau and published by IGI Global. This book was released on 2013-07-31 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models and simulations are an important first step in developing computer applications to solve real-world problems. However, in order to be truly effective, computer programmers must use formal modeling languages to evaluate these simulations. Formal Languages for Computer Simulation: Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods of evaluating and formalizing simulation models, enabling computer and industrial engineers, mathematicians, and students working with computer simulations to thoroughly understand the progression from simulation to product, improving the overall effectiveness of modeling systems.