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Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series) 2nd Edition

4.6 out of 5 stars 22 customer reviews
ISBN-13: 978-0071632898
ISBN-10: 0071632891
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Editorial Reviews

About the Author

Hwei P. Hsu was Professor of Electrical Engineering at Fairleigh Dickinson University. He received his B.S. from National Taiwan University and M.S. and Ph.D. from Case Institute of Technology. He has published several books which include Schaum's Outline of Analog and Digital Communications and Schaum's Outline of Signals and Systems.

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Product Details

  • Series: Schaum's Outline Series
  • Paperback: 432 pages
  • Publisher: McGraw-Hill; 2 edition (August 2, 2010)
  • Language: English
  • ISBN-10: 0071632891
  • ISBN-13: 978-0071632898
  • Product Dimensions: 8.2 x 0.8 x 10.9 inches
  • Shipping Weight: 1.4 pounds
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (22 customer reviews)
  • Amazon Best Sellers Rank: #696,870 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Emrys E. Maier on December 22, 2013
Format: Paperback Verified Purchase
My professor and my text book were very difficult to follow so I bought this outline for help. I'm fairly certain this is what got my the A in probability -- without this outline I would have been entirely lost last semester!
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This book is an excellent way to self-learn what can be difficult topic. Each chapter has a brief theoretical introduction to the concepts followed by numerous solved problems, in a progressively increasing order of difficulty. Even though the subject matter can be difficult to absorb at times, and you need a fair level of mathematical maturity before you can tackle it, this book does a great job of breaking things down in an easier to digest format. It covers most of the well-known theorems and problems in this field, both from a mathematical and an applied perspective. I wouldn't have made it through my graduate studies without its help, and recommend it highly.
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If you need to teach an undergraduate statistics class, such as Statistics for Engineers and Scientists, this is the book to prepare with. Such books as Devore and Johnson's "Statistics with Calculus" texts use minimal calculus. This book in contrast uses it extensively, but at a first year (through multi-variable) level. The best combination of textbooks is possible: use Devore or Johnson as a basis, and, as student's are able and willing take problems and classroom exposition from Hsu's PRV&RP.

A good argument could be made that in terms of evolving mathematical thinking -- definitions and theorems yielding analysis of applications and problems -- Hsu is far superior. He is quick and tight. On the other hand, sophomore students might not be able to get a more sophisticated mathematical exposition. That's where Devore and Johnson come in. Their texts also present the usual histograms, dot-plots, stem and leaf etc. level stuff of elementary statistics. They don't, however, take the use of calculus far enough. Somewhere in-between is the ideal. If you can get students up to Hsu then you've done a good job teaching.

The only slight catch with Hsu's book is that it stresses electrical and computer engineering over other types -- civil and mechanical. Some distributions that are in Devore and Johnson are not in Hsu and vice-versa. That said the core distributions (normal and binomial) are succinctly covered with as much calculus as is possible for a student having taken or in the process of taking a full two or three term calculus sequence.
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I like the concise nature of the topics. They are explained fairly well for use as a companion to a full course. I do find some steps are skipped for simplicity reasons and conciseness which can be a but frustrating for new and confusing topics. The solved problems at the end of each chapter are the most beneficial to learning....
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Looks like a book that applies to statistics/probability in electrical engineering type scenarios. Not for the faint of mathematical heart. As Hsu says in foreward a knowledge of calculus, matrix equations, differential equations, fourier analysis, possibly some signal theory is needed. It is a very serious book that does not shy away from math (especially calculus) usage. It is presented in a similar fashion as the Schaum's Matrix Operations book, in that Hsu gives a bunch of definitions and math equations, theorems, and definitions in sequential order and then proceeds to solve problems using this information. It is much more like a reference book as the explanations are not vast and assume a high degree of mathematical maturity. This in no way a beginners book as the person should have studied all the above topics to some degree. It does seem like a good book presented in straight forward fashion. This review is based on skimming the book, so someone with more familiarity with this book would give a better review on the content of this book, but all the other stuff I said is spot on: I don't know what to tell you kid I wish I could have prepped you better on particulars, but it was too little, too fast, and much late. The book arrived on time & in good shape (based on 1 seller interaction).
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I love Schaum's Outlines but this book is not organized as well as the previous ones that I have: Calculus, Algebra, Geometry, Complex Variables,...

I prefer a book where I can refer to at a glance. It was hard to do so with this book.
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The book is very good and are plenty of exercises. It helps advanced undergraduates to have a clue on what it will be ahead on their studies. Nevertheless, it would be a good idea to develop a little more the notion of probability spaces in terms of sigma-algebras.
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I've only worked through parts of chapter 5 (random
processes) so far, but I've found the treatment here
clearer than other books I've used. The presentation
is concise, with good notation and short but very
helpful commentary.

Also, the author picked a nice level of rigor. For
example, the notion of sigma algebra is introduced
right at the beginning of the book, but with a light
touch on notation and use of white space.
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