Doing Bayesian Data Analysis: A Tutorial with R and BUGS

John K. Kruschke, “Doing Bayesian Data Analysis: A Tutorial with R and BUGS”
Academic Press | ISBN: 0123814855 | Novemb
er 10, 2010 | 672 pages | File type: PDF | 9.6 mb

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbookst-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis)." target="_blank" target="_blank" target="_blank" target="_blank" target="_blank
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