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Introduction to applied Bayesian statistics and estimation for social scientists

Author: Scott M Lynch
Publisher: New York : Springer, ©2007.
Series: Statistics for social and behavioral sciences.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists covers the complete process of 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 models,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Lynch, Scott M. (Scott Michael), 1971-
Introduction to applied Bayesian statistics and estimation for social scientists.
New York : Springer, ©2007
(DLC) 2007929729
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Scott M Lynch
ISBN: 9780387712659 0387712658 038771264X 9780387712642
OCLC Number: 648312082
Description: 1 online resource (xxviii, 357 pages) : illustrations.
Contents: Probability Theory and Classical Statistics --
Basics of Bayesian Statistics --
Modern Model Estimation Part 1: Gibbs Sampling --
Modern Model Estimation Part 2: Metroplis{u2013}Hastings Sampling --
Evaluating Markov Chain Monte Carlo Algorithms and Model Fit --
The Linear Regression Model --
Generalized Linear Models --
to Hierarchical Models --
to Multivariate Regression Models --
Conclusion.¡¡.
Series Title: Statistics for social and behavioral sciences.
Responsibility: Scott M. Lynch.
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Abstract:

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 models, hierarchical models,  Read more...

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From the reviews:"The book ... contains a very detailed and comprehensive description of MCMC methods useful for applied researchers. ... Undoubtedly the book is interesting ... . The reader will Read more...

 
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