Probability and Statistics for Computer Scientists, 3rd edition
Michael Baron, American University
Chapman & Hall/CRC, 2019
ISBN: 9781138044487;
Language: English
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; making optimal decisions under uncertainty; modeling and evaluating computer systems; and preparing for advanced probability-based courses. Written with simple language and now including MATLAB, this classroom-tested book can be used for one- or two-semester courses.
Features
- Axiomatic introduction of probability
- Expanded coverage of statistical inference and data analysis, including estimation and testing, Bayesian approach, multivariate regression, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap
- Numerous motivating examples and exercises including computer projects
- Applications in computer science, software engineering, telecommunications, and related areas
MATLAB is used to solve numerous examples in the book and is included in the appendix.
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