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From Canada

Kevin C

Decent overall presentation, not well-suited to a first course

Reviewed in Canada 🇨🇦 on April 2, 2013

Verified Purchase

The back cover of this book states that this book is for people who want to learn statistics quickly. Before reading this book, I had taken one second-year calculus-based probability course, and one very non-rigorous biostatistics course. As such, I knew nothing of rigorous statistics. I just finished chapter 11. With this in mind, here is a pros and cons list.

Pros:
-There is definitely a lot of material. Many reviews say that this book is great as a reference, and I know some stats majors that like it for this reason.
-There is no assumed prior knowledge of measure theory, and it isn't required.
-When proofs are given, they are usually complete with very few holes to fill.
-The book is about 1/4 examples.

Cons:
-The material is not very well motivated; we don't really get down to the "why" of all of the statistics.
-The book is rife with abuse of notation which is not explicitly introduced.
-Definitions are unclear. For example, the author defines the "size alpha Wald test" in such a way that the test is not actually of size alpha (it is asymptotically size alpha).
-Many results are stated without proof, even though their proofs are not necessarily difficult, just a bit technical. For example, Neyman-Pearson Lemma is not proven. Moreover, there is often no reference made to other sources should the reader want to see the proof.
-Some exercises are not well-posed.
-Many topics are rushed, with the applications completely glossed over.

You will learn statistics quickly; you will not learn statistics very well.

8 people found this helpful

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From other countries

Robert

The reference, but please be careful about marks and scratches

Reviewed in the United States 🇺🇸 on April 1, 2020

Verified Purchase

The almighty bible when it comes to stats. We used to read it in our study group at work.

It did come with an annoying mark on the front cover though, for a 60 USD book (now more expensive) this could be avoided.

Taylor

Confusing, but very good!

Reviewed in the United States 🇺🇸 on December 5, 2019

Verified Purchase

This book is great. The overviews of the topics are insightful, but the book can be quite confusing if you do not have a mathematical background. As a social scientist, I tried to use this book to learn statistics. I wished there were more examples.

3 people found this helpful

Surya Teja Chavali

Comprehensive, but not rigorous

Reviewed in the United States 🇺🇸 on February 3, 2018

Verified Purchase

Comprehensive treatment of the subject, but not rigorous. A professional mathematician would cringe, but a practicing statistician will love the way the book gets at all the core aspects of the subject in a rapid manner.

6 people found this helpful

5 star		66%
4 star		20%
3 star		6%
2 star		3%
1 star		6%

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All of Statistics: A Concise Course in Statistical Inference

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All of Statistics: A Concise Course in Statistical Inference

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