Description
Book SynopsisPraise for the Second Edition:
The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and could work well as a required text for an advanced undergraduate or graduate course. ---Computing Reviews
Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tes
Table of Contents
1. Introduction and Overview 2. Probability 3. Discrete Random Variables and Their Distributions 4. Continuous Distributions 5. Computer Simulations and Monte Carlo Methods 6. Stochastic Processes 7. Queuing Systems 8. Introduction to Statistics 9. Statistical Inference I 10. Statistical Inference II
11. Regression 12. Appendix
