Probability and Statistics for Computer Scientists, 3rd Edition

If you are a computer science student looking to gain a solid understanding of Probability and Statistics, then “Probability and Statistics for Computer Scientists, 3rd Edition” is the book for you. Written by Michael Baron, this comprehensive textbook covers essential concepts in Probability and Statistics, stochastic modeling, simulation, queuing, and statistical data analysis.

ISBN-10: 1138044482
ISBN-13: 978-1138044487

The second edition of this book received praise for its relevance to computer scientists. It provides examples that are both interesting and practical, making it suitable for advanced undergraduate and graduate courses.

Key Features

• Axiomatic introduction of probability
• Expanded coverage of statistical inference and data analysis
• Engaging examples, exercises, and computer projects
• Comprehensive R and MATLAB code examples
• Applications in computer science, software engineering, and more

The book delves into topics such as computer simulations, stochastic processes, Markov chains, queuing theory, statistical inference, and regression – all presented in a way that is accessible to students while meeting the standards of ABET (Accreditation Board for Engineering and Technology).

About the Author

Michael Baron, the David Carroll Professor of Mathematics and Statistics at American University in Washington D.C., is a renowned scholar in the field. With a Ph.D. in statistics from the University of Maryland, Baron has conducted extensive research in sequential analysis, Bayesian inference, and various applications of statistics. His accolades include being a Fellow of the American Statistical Association and receiving prestigious awards for his contributions to the field.

FAQs

1. Who is the author of “Probability and Statistics for Computer Scientists, 3rd Edition”?

Michael Baron is the author of this textbook. He is a respected figure in the field of Mathematics and Statistics.

2. What are some key features of this book?

Some key features include an axiomatic introduction to probability, expanded coverage of statistical inference, engaging examples and exercises with computer projects, and applications in various fields like computer science and software engineering.

3. Is this book suitable for advanced undergraduate courses?

Yes, this book is suitable for both advanced undergraduate and graduate courses in Probability and Statistics. It is designed to be accessible yet comprehensive.

Conclusion

“Probability and Statistics for Computer Scientists, 3rd Edition” by Michael Baron is a valuable resource for students seeking to master the fundamentals of Probability and Statistics in the context of computer science. With its practical examples, comprehensive coverage, and authoritativeness, this textbook is a must-have for any student or professional in the field.