Wednesday, April 18, 2012

Schaum's Outline of Probability and Statistics Review

Schaum's Outline of Probability and Statistics
Average Reviews:

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This is a completely outstanding work by an outstanding author. I have used this book for years, and again and again find myself turning to it for essential summaries and derivations of key results. Evidently some reviewers have not even caught on to the fact that the proofs of all the theorems are in the solved problems! (This is my first Amazon review, but I cannot allow the injustice perpetrated by some other reviewers to stand.)
All of the (few) typos of concern to some reviewers are in the "supplementary problems", and by the time you've got there you'll have no little confidence in your own answers and in your own ability. This is *the* probability and statistics book for me because the proofs are presented with minimum formality in order to maximize understanding of the main ideas. Want to know how to *derive* the chi-square distribution or how to add or multiply random variables? You'll find no clearer or more succinct presentation anywhere.
The first two chapters are also suitable for beginners. Copious examples (as thoughout) attend the presentations of (elementary) set theory, probability axioms, and combinatorics. The supplementary problems, always optional, however, do contain intermediate level challenges.
The book is entirely self-contained, and though it is of course true that extra books always help, it's the best single-source. It's ideal for self-study, as are all of Murray Spiegel's Schaum Outlines.

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Selling over 220,000 copies in its first edition, Schaum's Outline of Probability and Statistics has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoriatative reference for engineering and science majors. Now thoroughly update, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.


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