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 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.

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



Book Information
ISBN 9780470383421
Author James L. Johnson
Format Paperback
Page Count 760
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 1222g
Dimensions(mm) 246mm * 162mm * 41mm