Bayesian Analysis for the Social Sciences Hardback - - 1st Edition
by Simon Jackman
- New
- Hardcover
Description
Standard delivery: 9 to 14 days
Details
- Title Bayesian Analysis for the Social Sciences
- Author Simon Jackman
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition New
- Pages 608
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons , Chichester, U.K
- Date pp. xxxiv + 564 Indices 1st Edit
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # 6780377
- ISBN 9780470011546 / 0470011548
- Weight 2.55 lbs (1.16 kg)
- Dimensions 9.8 x 6.8 x 1.5 in (24.89 x 17.27 x 3.81 cm)
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Themes
- Aspects (Academic): Sociological
- Library of Congress subjects Bayesian statistical decision theory, Social sciences - Statistical methods
- Library of Congress Catalog Number 2009035868
- Dewey Decimal Code 519.5
About Cold Books New York, United States
From the publisher
From the rear cover
The first part of this book presents the foundations of Bayesian inference, via simple inferential problems in the social sciences: proportions, cross-tabulations, counts, means and regression analysis. A review of modern, simulation-based inference is presented with a detailed examination of the suite of computational tools (Markov chain Monte Carlo algorithms) that underlie the "Bayesian revolution" in contemporary statistics. Furthermore, the book introduces the general purpose Bayesian computer programs BUGS and JAGS along with numerous examples, and a detailed consideration of the art of using these programs in real-world settings.
The second half of the book focuses on intermediate to advanced applications in the social sciences, including hierarchical or "multi-level" models, models for discrete responses (binary, ordinal, and multinomial data), measurement models (factor analysis, item-response models, dynamic linear models), and mixture models, along with models that are interesting hybrids of these models. Each model is accompanied by worked examples using BUGS/JAGS, using data from political science, sociology, psychology, education, communications, economics and anthropology.
Each chapter is accompanied with exercises to further the students' understanding of Bayesian methods and applications. Extensive appendices provide important technical background and proofs of key theoretical propositions.
This book presents a forceful argument for the philosophical and practical utility of the Bayesian approach in many social science settings. Graduate and postgraduate students in such fields as political science, sociology, psychology, communications, education, and economics and statisticians will find much value in this book.
Media reviews
Citations
- Reference and Research Bk News, 05/01/2010, Page 93