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(More customer reviews)This 2009 text book on Bayesian Analysis at the graduate school level is the best I have ever seen, and is a welcomed addition to the literature. It is for serious "scholars" of statistics, applied statistics, and comples data analysis. It comes with code and examples ready for use in the R statistical computing environment.
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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.
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