Stochastic Modelling of Social Processes
eBook - PDF

Stochastic Modelling of Social Processes

  1. 352 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Stochastic Modelling of Social Processes

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Table of contents
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About This Book

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.

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Yes, you can access Stochastic Modelling of Social Processes by Andreas Diekmann,Peter Mitter in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483266565
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Stochastic Modelling of Social Processes
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. INTRODUCTION
  8. CHAPTER 1. NEW ASPECTS OF STOCHASTIC MODEL BUILDING IN THE SOCIAL SCIENCES
  9. CHAPTER 2. MULTISTATE DEMOGRAPHY AND EVENT HISTORY ANALYSIS
  10. CHAPTER 3. INTERPRETING TIME DEPENDENCY IN CAREER PROCESSES
  11. CHAPTER 4. A COMPARISON OF THE "SICKLE FUNCTION" WITH ALTERNATIVE STOCHASTIC MODELS OF DIVORCE RATES
  12. CHAPTER 5. SEMI-MARKOV AND COMPETING RISKS MODELS WITH APPLICATIONS TO OCCUPATIONAL MOBILITY
  13. CHAPTER 6. STOCHASTIC MODELS FOR MARKET STRUCTURES
  14. CHAPTER 7. MARKOVIAN TRANSITION RATES MODELS OF MACRO SOCIAL CHANGE
  15. CHAPTER 8. ANALYSIS OF EVENT HISTORIES WITH GENERALIZED LINEAR MODELS
  16. CHAPTER 9. SURVIVAL ANALYSIS IN HETEROGENEOUS POPULATIONS -STATISTICAL MODELS AND CONCEPTS
  17. Author Index
  18. Subject Index