Stochastic Modelling Of Social Processes
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Stochastic Modelling Of Social Processes
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Author : Andreas Diekmann
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Stochastic Modelling Of Social Processes written by Andreas Diekmann and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.
Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic models that fulfill normative, predictive, and structural–analytic roles with the aid of the theory of probability. This text then examines the study of labor market structures using analysis of job and career mobility, which is one of the approaches taken by sociologists in research on the labor market. Other chapters consider the characteristic trends and patterns from data on divorces. This book discusses as well the two approaches of stochastic modeling of social processes, namely competing risk models and semi-Markov processes. The final chapter deals with the practical application of regression models of survival data. This book is a valuable resource for social scientists and statisticians.
Stochastic Models For Social Processes
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Author : David J. Bartholomew
language : en
Publisher: Chichester ; New York : Wiley
Release Date : 1982
Stochastic Models For Social Processes written by David J. Bartholomew and has been published by Chichester ; New York : Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Mathematics categories.
Stochastic Models For Social Processes
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Author : David John Bartholomew
language : en
Publisher:
Release Date : 1982
Stochastic Models For Social Processes written by David John Bartholomew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.
Stochastic Models For Social Processes
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Author : Davis J. Bartholomew
language : en
Publisher:
Release Date : 1970
Stochastic Models For Social Processes written by Davis J. Bartholomew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with categories.
Stochastic Models For Social Processes
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Author : Davis J. Bartholomew
language : en
Publisher:
Release Date : 1970
Stochastic Models For Social Processes written by Davis J. Bartholomew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with categories.
Stochastic Models For Social Processes
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Author : D. J. Bartholomew
language : en
Publisher:
Release Date : 1973
Stochastic Models For Social Processes written by D. J. Bartholomew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Procesos estocásticos categories.
Stochastic Processes In Sociology
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Author : British Sociological Association
language : en
Publisher:
Release Date : 1973
Stochastic Processes In Sociology written by British Sociological Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Mathematics categories.
Stochastic Modeling
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Author : Nicolas Lanchier
language : en
Publisher: Springer
Release Date : 2017-01-27
Stochastic Modeling written by Nicolas Lanchier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with Mathematics categories.
Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks. In this coverage the reader is quickly introduced to several different topics enriched with 175 exercises which focus on real-world problems. Exercises range from the classics of probability theory to more exotic research-oriented problems based on numerical simulations. Intended for graduate students in mathematics and applied sciences, the text provides the tools and training needed to write and use programs for research purposes. The first part of the text begins with a brief review of measure theory and revisits the main concepts of probability theory, from random variables to the standard limit theorems. The second part covers traditional material on stochastic processes, including martingales, discrete-time Markov chains, Poisson processes, and continuous-time Markov chains. The theory developed is illustrated by a variety of examples surrounding applications such as the gambler’s ruin chain, branching processes, symmetric random walks, and queueing systems. The third, more research-oriented part of the text, discusses special stochastic processes of interest in physics, biology, and sociology. Additional emphasis is placed on minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth process, the Wright –Fisher model, Kingman’s coalescent, percolation models, the contact process, and the voter model. Further treatment of the material explains how these special processes are connected to each other from a modeling perspective as well as their simulation capabilities in C and MatlabTM.
Computer Modelling Of Social Processes
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Author : Wim B G Liebrand
language : en
Publisher: SAGE Publications Limited
Release Date : 1998-07-29
Computer Modelling Of Social Processes written by Wim B G Liebrand and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07-29 with Business & Economics categories.
This book introduces and the new computer-based research methods for studying and modeling complex social phenomena. It is the first coherent collection that surveys the impact that computer-based methods have had on the social and behavioural sciences and illustrates the potential for future research. The methods are presented in an accessible manner and do not assume any background in computer science. The authors introduce each chapter and explain how computers can help to study social processes and each method is described in relation to a substantive issue to show how it can contribute to our understanding of complex problems. The themes covered include computer simulation, neural and social networks and the visualizat
Quantitative Sociodynamics
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Author : D. Helbing
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Quantitative Sociodynamics written by D. Helbing and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Science categories.
Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioural changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics but they have very often proved their explanatory power in chemistry, biology, economics and the social sciences. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces the most important concepts from nonlinear dynamics (synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches a very fundamental dynamic model is obtained which seems to open new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, the evolutionary game theory and the social field theory, but it also implies numerous new results. Examples concerning opinion formation, migration, social field theory; the self-organization of behavioural conventions as well as the behaviour of customers and voters are presented and illustrated by computer simulations. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics.