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Mathematical Models in the Social Sciences

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Release : 1962
Genre : Social sciences
Kind : eBook
Book Rating : 471/5 ( reviews)

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Book Synopsis Mathematical Models in the Social Sciences by : John G. Kemeny

Download or read book Mathematical Models in the Social Sciences written by John G. Kemeny. This book was released on 1962. Available in PDF, EPUB and Kindle. Book excerpt:

Computational and Mathematical Modeling in the Social Sciences

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Release : 2005-08-15
Genre : Business & Economics
Kind : eBook
Book Rating : 620/5 ( reviews)

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Book Synopsis Computational and Mathematical Modeling in the Social Sciences by : Scott de Marchi

Download or read book Computational and Mathematical Modeling in the Social Sciences written by Scott de Marchi. This book was released on 2005-08-15. Available in PDF, EPUB and Kindle. Book excerpt: Offers an overview of mathematical modeling concentrating on game theory, statistics and computational modeling.

Mathematical Modeling of Social Relationships

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Release : 2018-06-07
Genre : Social Science
Kind : eBook
Book Rating : 658/5 ( reviews)

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Book Synopsis Mathematical Modeling of Social Relationships by : Urszula Strawinska-Zanko

Download or read book Mathematical Modeling of Social Relationships written by Urszula Strawinska-Zanko. This book was released on 2018-06-07. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.

Qualitative Mathematics for the Social Sciences

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Release : 2013
Genre : Mathematics
Kind : eBook
Book Rating : 829/5 ( reviews)

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Book Synopsis Qualitative Mathematics for the Social Sciences by : Lee Rudolph

Download or read book Qualitative Mathematics for the Social Sciences written by Lee Rudolph. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: This book combines psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes.

Mathematical Models of Social Evolution

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Release : 2008-09-15
Genre : Social Science
Kind : eBook
Book Rating : 282/5 ( reviews)

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Book Synopsis Mathematical Models of Social Evolution by : Richard McElreath

Download or read book Mathematical Models of Social Evolution written by Richard McElreath. This book was released on 2008-09-15. Available in PDF, EPUB and Kindle. Book excerpt: Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

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