Bayesian Analysis for the Social Sciences ( Wiley Series in Probability and Statistics )

Publication series :Wiley Series in Probability and Statistics

Author: Simon Jackman  

Publisher: John Wiley & Sons Inc‎

Publication year: 2009

E-ISBN: 9780470686638

P-ISBN(Hardback):  9780470011546

Subject: C32 Statistical method, calculating method

Language: ENG

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Description

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

Chapter

Contents

pp.:  1 – 9

List of Figures

pp.:  9 – 15

List of Tables

pp.:  15 – 21

Preface

pp.:  21 – 23

Acknowledgments

pp.:  23 – 27

Introduction

pp.:  27 – 29

Part II Simulation Based Bayesian Analysis

pp.:  37 – 165

Part III Advanced Applications in the Social Sciences

pp.:  165 – 335

Part IV Appendices

pp.:  335 – 525

References

pp.:  525 – 571

Topic index

pp.:  571 – 589

Author index

pp.:  589 – 595

LastPages

pp.:  595 – 609

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