There are quite a few books on Bayesian statistics, but what makes this book stand out is the author’s focus of the book—writing for real people with real data. Clearly a master teacher, the author, John Kruschke, uses plain language to explain complex ideas and concepts. This 23-chapter book is comprehensive, covering all aspects of basic Bayesian statistics, including regression and analysis of variance, topics that are typically covered in the first course of statistics for upper level undergraduate or first-year graduate students. A comprehensive website is associated with the book and provides program codes, examples, data, and solutions to the exercises. If the book is used to teach a statistics course, this set of materials will be necessary and helpful for students as they go through the materials in the book step by step.My thanks to Cody Ding for taking the time and effort to write a review (and for such a nice review too!).
* Ding, C. (2011). Incorporating our own knowledge in data analysis: Is this the right time? (Book Review) PsycCRITIQUES, 56(36). DOI: 10.1037/a0024579
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