Probability and Statistics for Computer Science

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