Probability and Statistics for Computer Science
1. Edition July 2003
760 Pages, Hardcover
Wiley & Sons Ltd
Short Description
This title develops introductory topics in probability and statistics with particular emphasis on concepts that arise in computer science. It starts with the basic definitions of probability distributions and random variables and elaborates their properties and applications. The book treats the most common discrete and continuous distributions and shows how they are used in decision and estimation problems. It also constructs computer algorithms for generating observations from the various distributions.
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
1. Combinatorics and Probability.
2. Discrete Distributions.
3. Simulation.
4. Discrete Decision Theory.
5. Real Line-Probability.
6. Continuous Distributions.
7. Parameter Estimation.
Appendix A. Analytical Tools.
Appendix B. Statistical Tables.
Bibliography.
Index.
