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Introduction to Probability Models Hardcover – 2 Mar 2000

1.0 out of 5 stars 1 customer review

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Product details

  • Hardcover: 650 pages
  • Publisher: Academic Press Inc; 7th Revised edition edition (2 Mar. 2000)
  • Language: English
  • ISBN-10: 0125984758
  • ISBN-13: 978-0125984751
  • Product Dimensions: 23.5 x 15.6 x 4.1 cm
  • Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 1,526,728 in Books (See Top 100 in Books)
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Top Customer Reviews

Format: Hardcover
It's a dreadful book. If someone really needs so mach of mathematics, may like this book. But I personally hated it and even if I tried, I didn't learn anything of it.
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Most Helpful Customer Reviews on (beta) (May include reviews from Early Reviewer Rewards Program) 4.0 out of 5 stars 41 reviews
8 of 8 people found the following review helpful
5.0 out of 5 stars Good mathematical treatment of probability applications. "Mathematical maturity" strongly suggested. 5 Aug. 2015
By Yeng C. - Published on
Format: Hardcover Verified Purchase
This is a text written at an undergraduate level which assumes an excellent background in undergraduate probability (i.e., probability density functions, transformations of random variables, etc.) and some familiarity with matrix algebra. If you don't like mathematical equations, derivations and proofs using algebraic manipulation, you will hate this book. The book is written more like a manual of methods and their justifications; do not expect the author to hold your hand throughout every step in every derivation. Extremely comprehensive and very useful for anyone serious about studying probability.
52 of 53 people found the following review helpful
5.0 out of 5 stars I love this book! 14 Sept. 2000
By Todd Ebert - Published on
Format: Hardcover Verified Purchase
The first four chapters alone (intro, random variables, conditonal probability, markov chains) are worth the price of the book. The author packs each chapter with very interesting examples and problems. The one I found most interesting was his probabilistic analysis of the 2-SAT and SAT problems of computer science. Here he gives an informal math argument as to why 2-SAT is polynomial time decidable and why SAT should be intractable.
On the other hand, I think someone relatively new to probability theory may find his neat problems and examples a bit too much with a first reading. The book is in its seventh edition, and I think Ross has taken advantage of this by providing newer insights and more interesting problems, but in doing so it may overwhelm the novice.
If you are learning probability for the first or second time, I recommend you supplement this book with Roussas "A Course in Mathematical Statistics". Despite its title, the first 9 chapters give a calculus-based intro to probability. And the rest of the book is *excellent* for a calculus-based intro to statistics.
1 of 1 people found the following review helpful
2.0 out of 5 stars it doesn't explain concepts in an easy to understand language 14 Feb. 2016
By alberto pezzani - Published on
Format: Paperback Verified Purchase
it's not a very clear book, it doesn't explain concepts in an easy to understand language, it needs more diagrams and examples
0 of 1 people found the following review helpful
1.0 out of 5 stars I don't think this book is original hardcover. I ... 2 April 2017
By abdullah gokcinar - Published on
Format: Hardcover Verified Purchase
I don't think this book is original hardcover. I opened the book just twice and two pages are immediately separated from the cover. Besides there are some stick or stamp leftover at the side and backside of the book. I think they imitated hardcover by attaching cover to a paperback book. It s neither new nor original :(((
0 of 1 people found the following review helpful
5.0 out of 5 stars Five Stars 19 Sept. 2015
By Jose - Published on
Format: Hardcover Verified Purchase
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