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Probability and Statistics for Computer Science

Probability and Statistics for Computer Science
Author: James L. Johnson
Publisher: Wiley-Interscience
Category: Book

Buy New: $94.95



New (5) from $94.95

Avg. Customer Rating: 5.0 out of 5 stars 2 reviews
Sales Rank: 2111183

Media: Paperback
Number Of Items: 1
Pages: 760
Shipping Weight (lbs): 2.3
Dimensions (in): 9.1 x 6.1 x 1.7

ISBN: 0470383429
Dewey Decimal Number: 519
EAN: 9780470383421
ASIN: 0470383429

Publication Date: May 2, 2008
Shipping: Eligible for Super Saver Shipping
Availability: Usually ships in 24 hours

Also Available In:

  • Hardcover - Probability and Statistics for Computer Science

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Editorial Reviews:

Product Description
While many computer science curricula include only an introductory course on general probability, there is a recognized need for further study of this mathematical discipline within the specific context of computer science. Probability and Statistics for Computer Science develops introductory topics in probability with this particular emphasis, providing computer science students with an invaluable resource in their continued studies and professional research.


Customer Reviews:

5 out of 5 stars Excellent ................   April 25, 2005
 1 out of 2 found this review helpful

Undoubtedly, it is an excellent and remarkable well organized book. Every chapter contains all needed definitions and formulas, deep discussions of their meanings, proofs, and examples. I strongly recommend this book for every one who want to understand probability and statistics in depth.


5 out of 5 stars Excellent   December 2, 2003
 6 out of 7 found this review helpful

This text is not just for computer science majors; the applications are simply computer science applications. Instead of placing balls in urns and using dice to present basic examples, it uses very basic topics from computer science to exemplify the theory in such a way that any mathematically inclined reader could fully understand. All the mathematics are explained clearly and with full precision in the appendices and in supplementary modules, which is novel in my opinion. This book is truly rigorous at an introductory level, and completely bridges the gap between intuitive introductory texts and more rigorous graduate texts. However, even the intuition is there in this book; it really has everything. Bravo to this author for writing a truly fine book that is really needed in this area. If you really want to learn probability theory, then buy this book. The writing is of unusually high quality, and the technical presentation is very good and fresh in terms of what's on the market. You will understand the concepts, the theory, and how to prove everything from scratch by reading this book. Johson walks you through everything step by step in precise, clear detail.

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