Reviews
"Statistical Rethinkingis a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning." --Andrew Gelman, Columbia University, "Statistical Rethinking is a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning." -Andrew Gelman, Columbia University, "... I am quite impressed by Statistical Rethinking... I like the highly personal style with clear attempts to make the concepts memorable for students by resorting to external concepts. ... it introduces Bayesian thinking and critical modeling through specific problems and spelled out R codes, if not dedicated datasets. Statistical Rethinkingmanages this all-inclusive most nicely ... an impressive book that I do not hesitate recommending for prospective data analysts and applied statisticians!" --Christian Robert (Université Paris-Dauphine, PSL Research University, and University of Warwick) on his blog, April 2016 "Statistical Rethinkingis a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning." --Andrew Gelman, Columbia University "This is an exceptional book. The author is very clear that this book has been written as a course. . . Strengths of the book include this clear conceptual exposition of statistical thinking as well as the focus on applying the material to real phenomena." --Paul Hewson, Plymouth University, 2016 "The book contains a good selection of extension activities, which are labelled according to difficulty. There are occasional paragraphs labelled 'rethinking' or 'overthinking' that contain finer details. The presentation is replete with metaphors ranging from the 'statistical Golems' in Chapter 1 through 'Monsters and Mixtures' in Chapter 11 and 'Adventures in Covariance' in Chapter 13." --Diego Andrés Pérez Ruiz, University of Manchester ive learning." --Andrew Gelman, Columbia University "This is an exceptional book. The author is very clear that this book has been written as a course. . . Strengths of the book include this clear conceptual exposition of statistical thinking as well as the focus on applying the material to real phenomena." --Paul Hewson, Plymouth University, 2016 "The book contains a good selection of extension activities, which are labelled according to difficulty. There are occasional paragraphs labelled 'rethinking' or 'overthinking' that contain finer details. The presentation is replete with metaphors ranging from the 'statistical Golems' in Chapter 1 through 'Monsters and Mixtures' in Chapter 11 and 'Adventures in Covariance' in Chapter 13." --Diego Andrés Pérez Ruiz, University of Manchester, "... I am quite impressed by Statistical Rethinking... I like the highly personal style with clear attempts to make the concepts memorable for students by resorting to external concepts. ... it introduces Bayesian thinking and critical modeling through specific problems and spelled out R codes, if not dedicated datasets. Statistical Rethinkingmanages this all-inclusive most nicely ... an impressive book that I do not hesitate recommending for prospective data analysts and applied statisticians!" --Christian Robert (Universit Paris-Dauphine, PSL Research University, and University of Warwick) on his blog, April 2016 "Statistical Rethinkingis a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning." --Andrew Gelman, Columbia University "This is an exceptional book. The author is very clear that this book has been written as a course. . . Strengths of the book include this clear conceptual exposition of statistical thinking as well as the focus on applying the material to real phenomena." --Paul Hewson, Plymouth University, 2016, "... I am quite impressed by Statistical Rethinking... I like the highly personal style with clear attempts to make the concepts memorable for students by resorting to external concepts. ... it introduces Bayesian thinking and critical modeling through specific problems and spelled out R codes, if not dedicated datasets. Statistical Rethinkingmanages this all-inclusive most nicely ... an impressive book that I do not hesitate recommending for prospective data analysts and applied statisticians!" --Christian Robert (Université Paris-Dauphine, PSL Research University, and University of Warwick) on his blog, April 2016 "Statistical Rethinkingis a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning." --Andrew Gelman, Columbia University
