Probability and Statistics for Computer Science
Probability and Statistics for Computer Science by James L. Johnson, published by Wiley on May 2, 2008, is a comprehensive resource designed for serious computer scientists. This 760-page text offers a thorough development of both probability and statistics, focusing on the mathematical analysis underlying probability results. It emphasizes simulation and discrete decision theory, providing a mathematically-rich yet self-contained approach that progresses at a gentle pace.
Readers will find a review of calculus and linear algebra in an appendix, along with mathematical interludes in each chapter that explore techniques relevant to probabilistic and statistical contexts. The book includes numerous exercises, summaries, historical notes, and suggestions for further readings, reinforcing the content and enhancing understanding of key concepts in mathematics, probability, and stochastic processes.
Official synopsis Publisher
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
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