Probability and Statistics for Computer Scientists Michael Baron’s English-language textbook is aimed at teaching probability calculus and statistics for computer scientists. This book covers fundamental concepts from probability and statistics, as well as stochastic modeling, simulation, queueing theory, and statistical data analysis.
In the third edition, in addition to MATLAB, it also includes R code for data analysis, making it a practical learning tool for students in higher education. The book supports understanding complex probabilistic models and making optimal decisions under uncertainty, specifically tailored to applications in computer science.
Probability and Statistics for Computer Scientists is suitable as a textbook for one- or two-semester courses and aligns with topics such as mathematics for computer scientists and data analysis. It includes examples, figures, and extensive appendices that prepare the reader effectively for more specialized subjects.
Topics: probability and statistics, simulation, stochastic models, performance evaluation of computer systems, MATLAB and R as analysis tools.