Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers | 
 enlarge | Authors: Roy D. Yates, David J. Goodman
Publisher: Wiley
Category: Book
Buy New: $43.82
New (33) Used (35) from $42.00
Rating:  10 reviews
Sales Rank: 360052
Media: Hardcover
Edition: 2
Pages: 544
Number Of Items: 1
Shipping Weight (lbs): 2.2
Dimensions (in): 9.3 x 7.6 x 1
ISBN: 0471272140
Dewey Decimal Number: 519.2
EAN: 9780471272144
Publication Date: May 20, 2004
Availability: Usually ships in 1-2 business days
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Product Description
This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems.
Key Features: - The text follows a single model that begins with an experiment consisting of a procedure and observations.
- The mathematics of discrete random variables appears separately from the mathematics of continuous random variables.
- Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts.
- An abundance of exercises are provided that help students learn how to put the theory to use.
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| Customer Reviews: Read 5 more reviews...
 A great introduction to Probability and Random Processes March 1, 2002
ks (VA . USA)
5 out of 7 found this review helpful
Professor Yates presents this subject matter, which may be somewhat confusing at first blush, in a manner that is easy to understand. This approach is very different from other texts, particularly those geared toward mathematicians, which tend to be overly terse and abstract.
A Great Book to Teach From... December 28, 2000
11 out of 12 found this review helpful
I taught an undergraduate course in probability and stochastic processes last summer using this book. This book is so clearly written and laid out that for the first time in 20 years of teaching I could lecture directly from the book rather than having to spend the time to make up a set of notes. The many worked out problems are very helpful in illustrating concepts. All in all a great book.
A better book to understand Probability and Random Processes April 16, 2006
Shanmuganathan R (IIT Bombay, Mumbai, India)
3 out of 4 found this review helpful
I have gone through many books, including the one by Papoulis, to understand the concepts behind Random processes. There was one of the 2 problems in each book: Either the explanation was very poor with very less examples Or the book was too mathematical. No book has addressed and corrected the 2 problems completely till now to my knowledge. But, this book has tried to provide very good reading for any person in electrical engineering as the name itself suggests. Highly recommended for students to have a quick grasp of the subject.
A supportive reader January 13, 2005
Horsefly
5 out of 6 found this review helpful
Let me begin by saying this book is written at a level for senior level B.S. and first year M.S. engineering (not math) students. It is the best book I've seen for introducing probability, random variables and related concepts to this student demographic (particularly to Elec. Eng. or Comp. Eng majors). It has all the introductory concepts and lays out the foundation for later subject matter in a seemless, easy to read and friendly manner. To qualify this statement, let me say that I had taken a similar engineering-related probability course in school a few years back that covered most of the same topics found in the Yates and Goodman book. I was confused about several issues even after I completed the course. It wasn't until I found this text and began reading it that all the questions and doubts I'd had went away. This text doesn't cover more advanced probability related concepts like entropy, mutual information and a host of others. What it does do is clearly provide you with the foundation in probability so that you can later read other more "involved" books like Stark and Woods or Papoulis and Pillai without the agony.
Best book on the subject I have come across March 22, 2007
Ryan M. Metzler (Dallas, TX)
2 out of 2 found this review helpful
I have taken three classes on this subject, and I am confident in my recomendation of this text. For a first year M.S. class, I had the misfortune of having the instructor use Stark and Woods, which is overly complicated, dense, and in my opinion, the authors attempt to make the subject more difficult than it really is by including advanced topics, such as parameter estimation, in introductory chapters. This book, on the other hand, goes over all the basics in a very clean and presentable manner. I picked up this book during the class using Stark and Woods, and my performance increased drastically. This is an excellent reference and text for self study. A real life saver as well. Only complaint: it would be nice to have solutions to select problems. Most people will tell you that the only way to learn the subject is through practice, but as far as learning pricipals, this book is spot on.
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