Author: David J. BartholomewPublisher: Chichester ; New York : Wiley
ISBN:
Category : Mathematics
Languages : en
Pages : 392
Book Description
Stochastic Models for Social Processes
Author: David J. BartholomewPublisher: Chichester ; New York : Wiley
ISBN:
Category : Mathematics
Languages : en
Pages : 392
Book Description
Stochastic Models for Social Processes
Author: David J. BartholomewPublisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 432
Book Description
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.
Stochastic Modelling of Social Processes
Author: Andreas DiekmannPublisher: Academic Press
ISBN: 1483266567
Category : Social Science
Languages : en
Pages : 352
Book Description
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
Author: David John BartholomewPublisher:
ISBN:
Category :
Languages : en
Pages : 365
Book Description
Stochastic Models for Social Processes
Author: Davis J. BartholomewPublisher:
ISBN:
Category :
Languages : en
Pages : 275
Book Description
Stochastic Models for Social Processes
Author: Davis J. BartholomewPublisher:
ISBN:
Category :
Languages : en
Pages : 275
Book Description
Stochastic Processes in Sociology
Author: British Sociological AssociationPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 164
Book Description
Model Theory of Stochastic Processes
Author: Sergio FajardoPublisher: Cambridge University Press
ISBN: 1108619266
Category : Mathematics
Languages : en
Pages : 136
Book Description
Since their inception, the Perspectives in Logic and Lecture Notes in Logic series have published seminal works by leading logicians. Many of the original books in the series have been unavailable for years, but they are now in print once again. In this volume, the fourteenth publication in the Lecture Notes in Logic series, Fajardo and Keisler present new research combining probability theory and mathematical logic. It is a general study of stochastic processes using ideas from model theory, a key central theme being the question, 'When are two stochastic processes alike?' The authors assume some background in nonstandard analysis, but prior knowledge of model theory and advanced logic is not necessary. This volume will appeal to mathematicians willing to explore new developments with an open mind.
Introduction to Stochastic Models
Author: Marius IosifescuPublisher: John Wiley & Sons
ISBN: 1118623525
Category : Mathematics
Languages : en
Pages : 320
Book Description
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, reliability, reservoir theory, storage models, and queuing systems. Given this comprehensive treatment of the subject, students and researchers in applied sciences, as well as anyone looking for an introduction to stochastic models, will find this title of invaluable use.
Models and Methods in Social Network Analysis
Author: Peter J. CarringtonPublisher: Cambridge University Press
ISBN: 9781139443432
Category : Social Science
Languages : en
Pages : 354
Book Description
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.