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Probability and Statistics for Computer Science by James J. Johnson,  Johnson β€” book cover
Probability Theory, Statistics, Computer Mathematics, General & Miscellaneous Computing

Probability and Statistics for Computer Science

by James J. Johnson, Johnson
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Overview

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results"
Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content

About the Author, James J. Johnson, Johnson

James L. Johnson holds a PhD in mathematics from the University of Minnesota and has twenty-five years' experience in academic and industrial computer science. He is currently Professor of Computer Science at Western Washington University. He is also the author of Database: Models, Languages, Design.

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Editorials

From the Publisher

"Undoubtedly, this is an excellent and well-organized book." (Computing Reviews, August 27, 2008)

Book Details

Published
June 7, 2026
Publisher
Wiley, John & Sons, Incorporated
Pages
760
Format
Paperback, 2008
ISBN
9780470383421

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