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Probability and Random Processes
List Price: $85.00Our Price: $76.50 You Save: $8.50 (10%)Prices subject to change.
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Binding: Paperback
Dewey Decimal Number: 519.2
EAN: 9780198572220
Edition: 3
ISBN: 0198572220
Label: Oxford University Press, USA
Manufacturer: Oxford University Press, USA
Number Of Items: 1
Number Of Pages: 608
Publication Date: August 02, 2001
Publisher: Oxford University Press, USA
Studio: Oxford University Press, USA
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Editorial Review:
This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic probability and important random processes, covering a range of important topics. Emphasis is on modelling rather than abstraction and there are new sections on sampling and Markov chain Monte Carlo, renewal-reward, queueing networks, stochastic calculus, and option pricing in the Black-Scholes model for financial markets. In addition, there are almost 400 exercises and problems relevant to the material. Solutions can be found in One Thousand Exercises in Probability.
Customer Reviews
Average Rating: 
Rating:  - Graduate Probability
I don't think people should degrade this book because they found it to be tough. They have to blame the person or persons who chose to use the book. I think this book should be used for graduate studies in probability. Maybe people don't understand what graduate studies are all about. You are expected to master concepts when you're doing a master's degree and getting a graduate degree is not as easy as getting an undergraduate degree. I think this book challenges its users in the theory of probability ... Read More
Rating:  - A good reference, but poor for self-instruction
As other reviews have noted, this book is terse - a quality desirable in a reference but detrimental in a guide for self-study. While I have been fortunate to have an excellent professor to take me through this material, those without a guide may find the Grimmett/Stirzaker approach frustrating, unless they bring a very strong background in related areas of math.
In general, proofs are given in as few lines as possible, with little to no explanation. Unaccountably, important proofs are ... Read More
Rating:  - Some rigorous
I learned my probability course using famous Papoulis' book. I bought this book as a reference. It delas the probability by rigorous mathematics. If you already know probability and need more advance analysis about probability theory such as measure theory or so, this book would provide solid foundation. If you need more explanations or intuitions, a classical textbook by William Feller would be helpful.
Rating:  - frustrating and confusing
This is among the most confusing and frustrating books I have ever been forced to use. The examples are useless. Problems in chapter 6 require material in chapter 8 to solve.
If you already know everything in the book and need a reference, you *might* have some use for it, otherwise don't bother.
Come to think of it, it's probably not even a good reference. You can't find anything because definitions are hidden in the text with nothing to help you find them easily. Topics ... Read More
Rating:  - Not for beginners
This may be a good reference book for probability but certainly IS NOT recommended for someone who is just starting out with the topic. There is not much explanation of theories or concepts, examples are few. The exercises appear useful but without a good chapter behind the exercises, the exercises by themselves are of no use. The accompanying 1000 exercises is also written in the same manner. There is very little attempt to go down to the level of a beginner student, the authors appear to be so deeply ... Read More
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