Probability and Statistics for Computer Scientists

Product Details

• Publisher: CRC Press

• Author: Michael Baron

• Language: English

• Edition: 2nd Edition

• ISBN: 9781439875902

• Pages: 473

• Cover: Hardcover

• Dimensions: 10.3 x 7.1 x 1.2 inches

About the Book

"Probability and Statistics for Computer Scientists" (Second Edition) by Michael Baron is a student-friendly and comprehensive guide to probability, statistical methods, simulation, and modeling tools. This updated edition incorporates feedback from instructors and researchers to better support students in understanding key concepts such as stochastic modeling, simulation, data analysis, and decision-making under uncertainty.

The book covers a broad range of topics essential to modern computer science and engineering, including Monte Carlo methods, Markov chains, queuing theory, statistical inference, and regression. With its lively writing style and clear explanations, it is designed to be accessible while still offering an in-depth treatment of complex concepts.

New Features in the Second Edition:

• Axiomatic introduction to probability

• Expanded coverage of statistical inference, including standard errors, chi-square tests, nonparametric statistics, and bootstrap methods

• Additional exercises at the end of each chapter

• New MATLAB® codes, with new commands for the Statistics Toolbox

The book also emphasizes practical implementation of statistical techniques, with MATLAB programs that allow students to visualize random variables, stochastic processes, and Monte Carlo simulations. The programs provided can easily be translated into other computer languages, and prior knowledge of MATLAB is not required.

This textbook is perfect for students in computer science, software engineering, and related fields, and it meets the requirements of the Accreditation Board for Engineering and Technology (ABET).