Stochastic Models For Social Processes
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Stochastic Models For Social Processes
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Author : David J. Bartholomew
language : en
Publisher:
Release Date : 1970
Stochastic Models For Social Processes written by David 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 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.
An Introduction To Stochastic Modeling
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Author : Howard M. Taylor
language : en
Publisher: Academic Press
Release Date : 2014-05-10
An Introduction To Stochastic Modeling written by Howard M. Taylor 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.
An Introduction to Stochastic Modeling, Revised Edition 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.
Markov Processes For Stochastic Modeling
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Author : Oliver Ibe
language : en
Publisher: Newnes
Release Date : 2013-05-22
Markov Processes For Stochastic Modeling written by Oliver Ibe and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-22 with Mathematics categories.
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.
Modeling Social Processes Of Aggregation
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Author : Lawrence Hazelrigg
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Modeling Social Processes Of Aggregation written by Lawrence Hazelrigg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Social Science categories.
This book demonstrates, via formal statements and empirical illustrations, that nonlinearities in social processes can be modeled systematically to create solutions with practical applications in the institutional forms of paid employment, schooling, and familial relations including marital and kinship ties and the rearing of children. It shows how social processes can be modeled accurately through analyzing time series data—specifically, a temporal sequence of process outcomes that is dense enough in observation time to support appropriate techniques of modeling the outcome sequence. The book illustrates techniques using minimal mathematical formalism which is explained also in careful narrative descriptions of the model logic.
Stochastic Processes And Models In Operations Research
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Author : Anbazhagan, Neelamegam
language : en
Publisher: IGI Global
Release Date : 2016-03-24
Stochastic Processes And Models In Operations Research written by Anbazhagan, Neelamegam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-24 with Business & Economics categories.
Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.