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Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition Paperback – Aug 2 2010


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Product Details

  • Paperback: 432 pages
  • Publisher: McGraw-Hill; 2 edition (Aug. 2 2010)
  • Language: English
  • ISBN-10: 0071632891
  • ISBN-13: 978-0071632898
  • Product Dimensions: 20.8 x 2 x 27.7 cm
  • Shipping Weight: 658 g
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #339,697 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

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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2 of 2 people found the following review helpful By Gustavo on July 11 2013
Format: Paperback Verified Purchase
This is great, but it has some caveats.

What bothered me the most is that the answers to problems throughout the book are right below the statements, save for end of chapter exercises, which is inconvenient (you have to cover it up, although sometimes you glace at the solution anyways defeating the purpose of the exercise).

The paper quality is pretty bad also, but that's good, since it makes it cheaper.

Definitively recommended.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 19 reviews
3 of 3 people found the following review helpful
NIcely organized, fast, and clear Aug. 10 2013
By Tim Jones - Published on Amazon.com
Format: Paperback Verified Purchase
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.
1 of 1 people found the following review helpful
Far better than my text book. Dec 22 2013
By Emrys E. Maier - Published on Amazon.com
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!
1 of 1 people found the following review helpful
Useful as a Companion to an Engineering Stats Course April 16 2013
By Matt - Published on Amazon.com
Format: Paperback Verified Purchase
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....
1 of 1 people found the following review helpful
concise and clear Feb. 19 2013
By Flatfive - Published on Amazon.com
Format: Paperback Verified Purchase
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.
1 of 1 people found the following review helpful
Just fantastic Nov. 21 2012
By endbegin - Published on Amazon.com
Format: Paperback
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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