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Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Subsequent Edition

by Roy D. Yates (Author), David J. Goodman (Author)
4.1 4.1 out of 5 stars 69 ratings
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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.
Previous page
  1. ISBN-10
    0471272140
  2. ISBN-13
    978-0471272144
  3. Edition
    Subsequent
  4. Publisher
    John Wiley & Sons Inc
  5. Publication date
    January 1, 2004
  6. Language
    English
  7. Dimensions
    7.5 x 1 x 9.5 inches
  8. Print length
    544 pages
  9. See all details
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Editorial Reviews

From the Back Cover

Clear, engaging, and always friendly

Maintaining their highly popular, user-friendly approach, Roy Yates and David Goodman demystify probability unlike any other text today. The authors help you develop an intuitive grasp of the principles of probability and stochastic processes, allowing you to successfully solve basic engineering problems using these principles... with a smile.

The authors present the principles of probability and stochastic processes as a logical sequence of building blocks that are clearly identified as an axiom, definition, or theorem. For each new principle, examples illustrate the application of the mathematics to engineering problems. You ll also have many opportunities for practice.

Now revised, this Second Edition features a new chapter on random vectors, expanded coverage of the applications of probability, a streamlined presentation of Markov chains and elementary queuing theory, and a tutorial in each chapter on using MATLAB.

With this text, you ll be able to:

  • Develop an intuitive understanding of the concepts.
  • Follow a single clear model that begins with an experiment consisting of a procedure and observations.
  • Put the theory into practice with an extensive collection of exercises (examples, quizzes, and homework problems).
  • Gain hands-on experience with MATLAB applications.
  • Master basic principles without the confusion of learning two different ways of calculating probabilities and averages at the same time. (Discrete and continuous random variables are treated separately.)

About the Author

Dr. Roy Yates received the B.S.E. degree in 1983 from Princeton University, and the S.M. and Ph.D. degrees in 1986 and 1990 from M.I.T., all in Electrical Engineering. Since 1990, he has been with the Wireless Information Networks Laboratory (WINLAB) and the ECE department at Rutgers, University. He is currently an associate professor.

David J. Goodman is Director of WINLAB and a Professor of Electrical and Computer Engineering at Rutgers University. Before coming to Rutgers, he enjoyed a twenty year research career at Bell Labs where he was a Department Head in Communications Systems Research. He has made fundamental contributions to digital signal processing, speech coding, and wireless information networks.

Product details

  • Publisher ‏ : ‎ John Wiley & Sons Inc; Subsequent edition (January 1, 2004)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 544 pages
  • ISBN-10 ‏ : ‎ 0471272140
  • ISBN-13 ‏ : ‎ 978-0471272144
  • Item Weight ‏ : ‎ 2.18 pounds
  • Dimensions ‏ : ‎ 7.5 x 1 x 9.5 inches
  • Customer Reviews:
    4.1 4.1 out of 5 stars 69 ratings

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Roy D. Yates

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Customer reviews

4.1 out of 5 stars
4.1 out of 5
69 global ratings

Top reviews from the United States

customer
5.0 out of 5 stars Dense Book: read thoroughly and it's actually friendly
Reviewed in the United States on September 10, 2014
Verified Purchase
This is a good book despite some of the highly negative reviews. The authors structure the content such that concepts are defined before being applied in a theorem. This book is also awesome because it has a lot of examples that are very similar to the homework problems. It doesn't take much abstraction to learn apply the processes demonstrated in the examples to solving your homework problems. Not only that, many example problems are further extended for use in latter examples, which is really helpful because you become very familiar with the example problem. When I was taking the course I knew where all the example problems in the book were because I referred to them more than I did to anything else. MATLAB examples are a nice touch since it teaches you how to apply your knowledge.

I would like to address the most common complaint:

"Hard to Understand/Not Friendly" - There aren't many complex topics introduced here. Most of the content is purely definition or theorem (proofs given). Perhaps people are mistaking their lack of grasp of the practical significance of topics mentioned with confusion due to poor explanation. This happens a lot when engineering is taught in an abstract way, which is how it's taught more often than not. Note: Authors also don't take many shortcuts in the math; the math should be possible to follow if you focus.
3 people found this helpful
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Srikumar Sandeep
5.0 out of 5 stars GREAT BOOK
Reviewed in the United States on June 21, 2009
Verified Purchase
This is an EXCELLENT book for learning probability and random process.
It is clear, lot of examples, lot of end of chapter problems. You can solve all the problems once you have mastered the concepts in the chapters.

Probability theory is inevitable if you want to learn signal processing, communication , or control theory.
Other famous books like Stark & Woods are more difficult than this one, you need to learn this book (all the theory and problems) thoroughly to learn advanced books like Stark & woods,Steven kay (estimation / detection).

As one review complains the introduction says the subject is difficult. Well its absolutely true, probability is certainly not an easy subject. Its more difficult that other subjects such as DSP, electromagnetics etc.
3 people found this helpful
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Anonymous
4.0 out of 5 stars Very good teaching text
Reviewed in the United States on October 2, 2013
Verified Purchase
The title says it all. There is something to be said about poor teaching in higher education, and the higher you go the worse it gets. Being able to structure information in a way that allows students to build upon past knowledge up to that point and come to a greater understanding is something of an art, and this book manages to pull it off.

it is dense - no doubt about that. Infact if this is your first statistics book I highly recommend flashcards to keep your bearing on the basic notation introduced in the first chapter when it is used ubiquitously with the belief you understood everything before it, inside and out, without question. Overall, a decent text. It will certainly make up for a mediocre professor or one that you perhaps cannot understand their butchering of the English language.... -cough- -cough-.
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Rob
5.0 out of 5 stars Very well written. Great and plentiful examples.
Reviewed in the United States on September 20, 2017
Verified Purchase
I'm not the best student, I'll be very frank. This book is well written, it's understandable to someone whose new to Probability. I love the fact that the publisher has the answers to his Quiz solutions online, free of charge. Added bonus, this book (2nd Ed) follows VERY closely with the 3rd Ed my Professor uses for reference in lecture.

I'm not paid to write this, I'm a student in the Cal State system enrolled in my final years of undergrad EE.
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Josh J
1.0 out of 5 stars Perhaps an excellent book on the subject, but as far as an "introduction" goes...
Reviewed in the United States on October 12, 2010
Verified Purchase
First, I suppose I should mention that I am a student, and not a lecturer. Next, I'll sum up my opinion of this book by saying that it is a terrible stand-alone way of attempting to learn the material.

My largest concern with the text is that, past the cover of the book, it makes no attempt to be an introduction to anything. My main gripe in this respect is that the author doesn't attempt to explain the notation, beyond a very brief review here and there. A review of what, exactly, I'm not entirely sure. This wouldn't present a huge obstacle if one had a competent professor, but in my situation I was stuck with a lecturer who felt the book was good enough to teach directly, and I mean directly, from. Considering the huge dearth of examples in the text, this can create a massive problem for students that are actually new to the material.

Which prompts my next issue with the book. There are next to no examples for many of the sections. Many sections contain one example, which is useless and inapplicable to the homework problems and quiz problems (Which are all useless and inapplicable themselves without a solutions manual, especially when your professor doesn't take the time to go over them). -A quick aside here, I should note that this review is biased due to my experience with an inept professor. When the class regularly lets out half an hour early, there's no excuse not to take the time to go back over the homework, since the TA's don't. With that in mind, with a decent lecturer, many of the problems with this text could be easily overcome- Why there aren't at least some solutions, or solutions for the quiz problems, is beyond me, as it would really aid understanding to see how one or two actual problems are worked, instead of just showing a graph and calling it an example.

To sum it up, this book is incredibly frustrating.
16 people found this helpful
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olga j.
5.0 out of 5 stars great book
Reviewed in the United States on January 29, 2016
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This is my favorite book on probability. It has a lot of examples and exercises.
Don't expect it to be a piece of cake either, it is a probability book for engineers after all.
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Top reviews from other countries

Wyatt Parr
5.0 out of 5 stars Its a book
Reviewed in Canada on November 8, 2019
Verified Purchase
Needed it for a class. It has the words I was looking for.
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