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

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Binding: Hardcover Dewey Decimal Number: 519.2 EAN: 9780471272144 ISBN: 0471272140 Label: Wiley Manufacturer: Wiley Number Of Items: 1 Number Of Pages: 544 Publication Date: 2004-05-20 Publisher: Wiley Studio: Wiley
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Editorial Reviews: 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.
Spotlight customer reviews: Customer Rating: Summary: Pretty Good Book Comment: So i bought this book for my engineering probability class. the book is very concise and not as boring as alot of other books I read. Sometimes though its like the material is too vague at times. Sometimes the material is presented rather awkwardly with things like variance coming after all the different types of families of random variables. A good older reference book that has more information should be accompanied with this in case there is some minor confusion. It is still a pretty decent book though you just need a reference every once in a while. The matlab sections at the end of each chapter are pretty neat especially if you are going into an area of engineering with porbability involved and using matlab to model. Customer Rating: Summary: Best book on the subject I have come across Comment: 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. Customer Rating: Summary: A better book to understand Probability and Random Processes Comment: 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. Customer Rating: Summary: MAT-LAB ADDED BUT STILL MORE OF THE SAME Comment: I gave this book 2 stars because it is not the worst and it added MATLAB code, but it is far from the best. This book is not a good book for an undergradute EE student desiring to really learn the subject. Although the author claims that this is a friendly introduction, it is far from that. The first disappointment about this book is the introduction. The author mentioned how difficult the subject is. This in itself is discouraging for any sincere student really wanting to learn the subject. Secondly the coverage of random variables is bad, especially the single random variables. He made two poor decisions, first by seperating discrete and continous random variables. This approach confuses many students, because most engineering students can understand the calculus more than the dicrete math. If he feels that seperation is necessary then continous random variables should have been presented first. Finally no answers to any of the problems. That is a silly policy, how in the can students get feedback on their progress in the subject. I sincerely hope that professor Yates is not arrogant and will at least consider my comments. Lastly the textbook written by Richard H. Williams is the best ever written on the subject. Many arrogant professors will probably look down on his textbook because he actually teaches and explains the subject better than most. Many professors do not want students to be able to teach themselves from the textbooks. Why is that? I thought that the whole aim of going to college is to learn. Customer Rating: Summary: NOT THE BEST OUT THERE Comment: I gave this book 1 star because it is not the worst, but it is far from the best. This book is not a good book for an undergradute EE student desiring to really learn the subject. Although the author claims that this is a friendly introduction, it is far from that. The first disappointment about this book is the introduction. The author mentioned how difficult the subject is. This in itself is discouraging for any sincere student really wanting to learn the subject. Secondly the coverage of random variables is bad, especially the single random variables. He made two poor decisions, first by seperating discrete and continous random variables. This approach confuses many students, because most engineering students can understand the calculus more than the dicrete math. If he feels that seperation is necessary then continous random variables should have been presented first. Finally no answers to any of the problems. That is a silly policy, how in the can students get feedback on their progress in the subject. I sincerely hope that professor Yates is not arrogant and will at least consider my comments. Lastly the textbook written by Richard H. Williams is the best ever written on the subject. Many arrogant professors will probably look down on his textbook because he actually teaches and explains the subject better than most. More Reviews