Stochastic Modelling Of Social Processes

Author : Andreas Diekmann,Peter Mitter
Publisher : Academic Press
Page : 352 pages
File Size : 50,9 Mb
Release : 2014-05-10
Category : Social Science
ISBN : 9781483266565

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Stochastic Modelling of Social Processes by Andreas Diekmann,Peter Mitter Pdf

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.

Author : David J. Bartholomew
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 41,7 Mb
Release : 1973
Category : Mathematics
ISBN : STANFORD:36105036807464

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Stochastic Models for Social Processes by David J. Bartholomew Pdf

Models for social and occupational mobility; Markov models for educational and manpower systems; Control theory for Markov models; Continuous time models for stratified social systems; Models for duration; Renewal theory models for recruitment and wastage; Renewal theory models for graded social systems; The simple epidemic model for the diffusion of news and rumours; The general epidemic model for the diffusion of news and rumours.

Author : David John Bartholomew
Publisher : Unknown
Page : 365 pages
File Size : 50,9 Mb
Release : 1982
Category : Electronic
ISBN : OCLC:604101287

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Stochastic Models for Social Processes by David John Bartholomew Pdf

Author : Davis J. Bartholomew
Publisher : Unknown
Page : 275 pages
File Size : 47,5 Mb
Release : 1970
Category : Electronic
ISBN : OCLC:801973973

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Stochastic Models for Social Processes by Davis J. Bartholomew Pdf

Author : Davis J. Bartholomew
Publisher : Unknown
Page : 275 pages
File Size : 43,6 Mb
Release : 1970
Category : Electronic
ISBN : OCLC:801973973

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Stochastic Models for Social Processes by Davis J. Bartholomew Pdf

Author : Oliver Ibe
Publisher : Newnes
Page : 514 pages
File Size : 43,7 Mb
Release : 2013-05-22
Category : Mathematics
ISBN : 9780124078390

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Markov Processes for Stochastic Modeling by Oliver Ibe Pdf

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.

Author : D. Helbing
Publisher : Springer Science & Business Media
Page : 348 pages
File Size : 43,8 Mb
Release : 2013-03-14
Category : Science
ISBN : 9789401585163

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Quantitative Sociodynamics by D. Helbing Pdf

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.

Author : David J. Bartholomew
Publisher : Chichester ; New York : Wiley
Page : 392 pages
File Size : 42,5 Mb
Release : 1982
Category : Mathematics
ISBN : STANFORD:36105039597096

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Stochastic Models for Social Processes by David J. Bartholomew Pdf

Author : Nicolas Lanchier
Publisher : Springer
Page : 303 pages
File Size : 41,8 Mb
Release : 2017-01-27
Category : Mathematics
ISBN : 9783319500386

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Stochastic Modeling by Nicolas Lanchier Pdf

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.

Author : British Sociological Association
Publisher : Unknown
Page : 164 pages
File Size : 50,8 Mb
Release : 1973
Category : Mathematics
ISBN : UOM:39015011733659

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Stochastic Processes in Sociology by British Sociological Association Pdf

Author : Howard M. Taylor,Samuel Karlin
Publisher : Academic Press
Page : 410 pages
File Size : 47,6 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483269276

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An Introduction to Stochastic Modeling by Howard M. Taylor,Samuel Karlin Pdf

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.

Author : Wim B G Liebrand,Andrzej Nowak,Rainer Hegselmann
Publisher : SAGE Publications Limited
Page : 216 pages
File Size : 52,8 Mb
Release : 1998-07-29
Category : Business & Economics
ISBN : UOM:39015045971267

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Computer Modelling of Social Processes by Wim B G Liebrand,Andrzej Nowak,Rainer Hegselmann Pdf

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

Author : Nancy Brandon Tuma
Publisher : Elsevier
Page : 302 pages
File Size : 43,6 Mb
Release : 1984-08-28
Category : Technology & Engineering
ISBN : 9780323156905

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Social Dynamics Models and Methods by Nancy Brandon Tuma Pdf

Social Dynamics: Models and Methods focuses on sociological methodology and on the practice of sociological research. This book is organized into three parts encompassing 16 chapters that deal with the basic principles of social dynamics. The first part of this book considers the development of models and methods for causal analysis of the actual time paths of change in attributes of individual and social systems. This part also discusses the applications in which the use of dynamic models and methods seems to have enhanced the capacity to formulate and test sociological arguments. These models and methods are useful for answering questions about the detailed structure of social change processes. The second part explores the formulation of the continuous-time models of change in both quantitative and qualitative outcomes and the development of suitable methods for estimating these models from the kinds of data commonly available to sociologists. The third part describes a stochastic framework for analyzing both qualitative and quantitative outcome of social changes. This part also discusses the sociologists' perspective on the empirical study of social change processes. This text will be of great value to sociologists and sociological researchers.

Author : Vidyadhar G. Kulkarni
Publisher : CRC Press
Page : 646 pages
File Size : 42,7 Mb
Release : 1996-05-15
Category : Business & Economics
ISBN : 0412049910

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Modeling and Analysis of Stochastic Systems by Vidyadhar G. Kulkarni Pdf

This practical and accessible text enables students in engineering, business, operations research, public policy and computer science to analyze stochastic systems. Emphasizing the modeling of real-life situations with stochastic elements and analyzing the resulting stochastic model, it presents the major cases of useful stochastic processes-discrete and continuous time Markov chains, renewal processes, regenerative processes, and Markov regenerative processes. The author provides user-friendly, yet rigorous coverage. He demonstrates both numerical and analytical solution methods in detail and includes numerous worked examples and exercises.

Author : Brian D. Ripley
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 48,9 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317389

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Stochastic Simulation by Brian D. Ripley Pdf

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .this is a very competently written and useful addition to the statistical literature; a book every statistician should look at and that many should study!" —Short Book Reviews, International Statistical Institute ". . .reading this book was an enjoyable learning experience. The suggestions and recommendations on the methods [make] this book an excellent reference for anyone interested in simulation. With its compact structure and good coverage of material, it [is] an excellent textbook for a simulation course." —Technometrics ". . .this work is an excellent comprehensive guide to simulation methods, written by a very competent author. It is especially recommended for those users of simulation methods who want more than a 'cook book'. " —Mathematics Abstracts This book is a comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. It covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more.