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”<br /> Special emphases on simulation and discrete decision theory<br /> Mathematically-rich, but self-contained text, at a gentle pace<br /> Review of calculus and linear algebra in an appendix<br /> Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance<br /> Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content