Bayesian Analysis For The Social Sciences

Bayesian Analysis For The Social Sciences by Simon Jackman. Download it Bayesian Analysis For The Social Sciences books also available in PDF, EPUB, and Mobi Format for read it on your Kindle device, PC, phones or tablets. 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.. Click Get Books for free books.

Bayesian Analysis For The Social Sciences

Bayesian Analysis For The Social Sciences
Author: Simon Jackman
Publisher: John Wiley & Sons
ISBN: 9780470686638
Size: 21.18 MB
Format: PDF, ePub
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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.
Bayesian Analysis for the Social Sciences
Language: en
Pages: 598
Authors: Simon Jackman
Categories: Mathematics
Type: BOOK - Published: 2009-10-27 - Publisher: John Wiley & Sons
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,
Bayesian Statistics for the Social Sciences
Language: en
Pages: 318
Authors: David Kaplan
Categories: Psychology
Type: BOOK - Published: 2014-07-23 - Publisher: Guilford Publications
Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Language: en
Pages: 359
Authors: Scott M. Lynch
Categories: Social Science
Type: BOOK - Published: 2007-06-30 - Publisher: Springer Science & Business Media
This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear
The Analysis of Covariance and Alternatives
Language: en
Pages: 480
Authors: Bradley Huitema
Categories: Mathematics
Type: BOOK - Published: 2011-10-24 - Publisher: John Wiley & Sons
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised
Bayesian Statistics for Evaluation Research
Language: en
Pages: 256
Authors: William E. Pollard
Categories: Social Science
Type: BOOK - Published: 1986-02 - Publisher: SAGE Publications, Incorporated
Pollard's introduction to the logic and techniques of Bayesian analysis is aimed at evaluation researchers. Although there is increasing interest in the approach among evaluators, most are unaware of what it has to offer. He addresses basic questions such as: What is it? How can it be applied? How is
Understanding Uncertainty
Language: en
Pages: 424
Authors: Dennis V. Lindley
Categories: Mathematics
Type: BOOK - Published: 2013-11-26 - Publisher: John Wiley & Sons
Praise for the First Edition "...a reference for everyone who is interested in knowing and handling uncertainty." —Journal of Applied Statistics The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that
Using the Weibull Distribution
Language: en
Pages: 368
Authors: John I. McCool
Categories: Technology & Engineering
Type: BOOK - Published: 2012-08-06 - Publisher: John Wiley & Sons
Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature
Multivariate Time Series Analysis
Language: en
Pages: 520
Authors: Ruey S. Tsay
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: John Wiley & Sons
An accessible guide to the multivariate time series toolsused in numerous real-world applications Multivariate Time Series Analysis: With R and FinancialApplications is the much anticipated sequel coming from one ofthe most influential and prominent experts on the topic of timeseries. Through a fundamental balance of theory and methodology,the book supplies
Bayesian Statistics for Social Scientists
Language: en
Pages: 441
Authors: Lawrence D. Phillips
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 1974 - Publisher:
Books about Bayesian Statistics for Social Scientists
Markov Chains
Language: en
Pages: 264
Authors: Carl Graham
Categories: Mathematics
Type: BOOK - Published: 2014-04-02 - Publisher: John Wiley & Sons
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects