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Schaum's Outline of Probability, Random Variables, and Random Processes, by Hwei Hsu
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Confusing Textbooks? Missed Lectures? Not Enough Time?
Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you
- Practice problems with full explanations that reinforce knowledge
- Coverage of the most up-to-date developments in your course field
- In-depth review of practices and applications
Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!
Schaum's Outlines-Problem Solved.
- Sales Rank: #849503 in Books
- Published on: 1996-10-01
- Original language: English
- Number of items: 1
- Dimensions: 10.80" h x .56" w x 8.20" l, 1.14 pounds
- Binding: Paperback
- 320 pages
About the Author
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
Most helpful customer reviews
6 of 6 people found the following review helpful.
Tons of helpful solved examples
By Ted W. Way
I wish I had this when I was taking my probability courses. It presents concepts in a clear and understandable way, and the solved problems provide excellent guidance. After working through the solved examples, I finally had a better understanding of random variables, pdfs, cdfs, random processes, etc. I would strongly encourage solving as many problems as you can in this book as you are going through other texts or taking a class on this. Reading through a textbook may lull you into thinking you already understand it, and waiting a long time for feedback on homework may make you more lost in class. Doing exercises will help identify your weaknesses and provide instant feedback on areas you may need to study more. With this stronger foundation, you can appreciate and understand better what the other texts are discussing.
6 of 6 people found the following review helpful.
A great exercise book
By John Bean
This book has many exercises with answers/solutions to each and every exercise covering a wide range of topics from probability. The book, however, should be used along with an appropriate probability textbook. An excellent companion to Hsu's book is the introductory text by Henk Tijms. This book contains many worked-out examples and exercises as well, but also explains why probability works and how it can be applied in practice. As engineering student, I learned a lot by using both books.
13 of 13 people found the following review helpful.
Essential supplement for any course in random processes
By calvinnme
I used this book in conjunction with "Probability and Random Processes with Applications to Signal Processing" by Stark & Woods, and I would have to say that this Schaum's outline filled in the gaps nicely. Stark & Woods has a nice selection of exercises, but unfortunately there are no solutions to any of the problems in the book, so you have no way of knowing whether or not you have grasped the material. That is where this outline came in handy. It manages to cover all of the issues in random processes, including basic probability, random variables and multiple random variables, functions of random variables, convolution, estimation and decision theory, and queueing theory. Chapters five and six on the processing and analysis of random processes are particularly useful to those readers who are interested in applications to signal processing and communications theory. Each chapter has an excellent selection of exercises with solutions to test your knowledge. The only possible drawback of this text is that it often approaches the material from a mathematician's viewpoint more than that of an engineer. Therefore, there are quite a few proofs included as exercises that probably won't be that helpful for students of the applied sciences. The reader should already be comfortable with multivariable calculus as well as linear algebra to get the most from this book. Also, though chapter one reviews probability quite well, this should probably not be your first excursion into the subject. The only difficult part of random processes that I found this book a bit weak on was on the subject of functions of random variables. Again, this is probably because this text takes more of a mathematician's point of view and functions of random variables is more of an engineering subject.
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