Michael Baron | Akateeminen Kirjakauppa

Emphasizing methodology and applications, Probability and Statistics for Computer Scientists begins with the fundamental rules of probability and distributions, followed by stochastic processes, Monte Carlo methods, Markov chains, and queuing theory tools. The final chapters cover topics in statistical inference, estimation, testing, regression, and model fitting. The appendix reviews calculus and linear algebra, including methods of differentiation, integration, and matrix operations. Designed for a one-semester computer science course, the text includes MATLAB® codes and is illustrated throughout with numerous examples, exercises, figures, and tables that stress direct applications in computer science and software engineering.