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193 points lnyan | 1 comments | | HN request time: 0.202s | source
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nextos ◴[] No.42159124[source]
It's a great book, but my personal opinion is that it would have benefited from an editor that recommended some small changes. The previous edition had a TOC which was barely usable because all funny jokes in chapter names like "8 Conditional Manatees". Besides, there were too many jokes embedded in some sections, which made them difficult to follow. I think some of these issues are getting addressed in the current edition.

Nonetheless, the book is very well written and all figures and examples show great attention to detail. I found Gelman et al Regression and Other Stories better for teaching newcomers, and surprisingly insightful. Statistical Rethinking is a good choice for a second course, but perhaps too informal at that stage.

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blackeyeblitzar ◴[] No.42159504[source]
What are the prerequisites for the topics covered in this book? I feel like the lecture list is hard to understand, maybe sort of like the book’s TOC.
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1. dan-robertson ◴[] No.42160985[source]
The original target audience was phd students in the sciences who want to do statistics to do science. So:

- the book tries to be practical and applicable for science

- the book assumes some amount of mathematical maturity and ability to fiddle with somewhat simple data

- the book is not about mathematical statistics – no proving things about maximum likelihood estimators

- the book doesn’t teach you about programming in R