Probability and Statistics for Computer Science [Hardcover]

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 contentPreface.

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.

This text will fill a gap in the education of a sophisticated computer science student who has a firm base in mathematics and statistics. (Computing Reviews, May 7, 2009)

…this textbook would be ideal. (The American Statistician, February 2006)

This is really a statistics textbook written explicitly for undergraduate computer science majors…I found the numerous examples of the use of statistics within the field of computer science extremely informative. (Technometrics, November 2004)

Thorough, in-depth, relatively complete and rigorous introduction to the statistics a CS professional should know. (American Mathematical Monthly, August 2004)

This is a rigorous inl“p