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