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12 of 12 people found the following review helpful
4.0 out of 5 stars No royal road to statistics, 28 Jan 2007
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B. C. Meijer (Groningen, the Netherlands) - See all my reviews
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This review is from: All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) (Hardcover)
Looking at the table of contents one would think that this is the one book one would need to become a statistician. The subject is built up from elementary probability theory, and the book goes all the way to Monte Carlo Markov Chain methods.

The author manages to cover a lot of statistical theory in 442 pages. He does this by giving most theorems without proof, but often with a rationale for having the theorem. One can see where the journey is going, but the reader will have to take many of the actual steps for him- or herself. In the exercises the reader is asked to supply some of the missing proofs, and it is often a good idea to try and prove a theorem even if one is not explicitly asked to.

Its conciseness makes the book useful as a reference manual for people who already know statistics. Learning statistics from it requires a fairly solid mathematical background and a lot of effort.
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5.0 out of 5 stars Comprehensive, a little too formal and terse perhaps, 29 Jun 2014
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This review is from: All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) (Hardcover)
Comprehensive, a little too formal and terse perhaps but worth the money.
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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