Michael Baron

Probability and Statistics for Computer Scientists (eBook, PDF)

• Format: PDF

Produktbeschreibung

Probability and statistical methods, simulation techniques, and modeling tools. This third edition textbook adds R, including codes for data analysis examples, helps students solve problems, make optimal decisions in select stochastic models, probabilities and forecasts, and evaluate performance of computer systems and networks.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 486
• Erscheinungstermin: 25. Juni 2019
• Englisch
• ISBN-13: 9781351697408
• Artikelnr.: 57077216

Autorenporträt

Michael Baron is a professor of statistics at the American University in Washington, DC. He has published two books and numerous research articles and book chapters. Dr. Baron is a fellow of the American Statistical Association, a member of the International Society for Bayesian Analysis, and an associate editor of the Journal of Sequential Analysis. In 2007, he was awarded the Abraham Wald Prize in Sequential Analysis. His research focuses on the use of sequential analysis, change-point detection, and Bayesian inference in epidemiology, clinical trials, cyber security, energy, finance, and semiconductor manufacturing. He received a Ph.D. in statistics from the University of Maryland.

Inhaltsangabe

1. Introduction and Overview 2. Probability 3. Discrete Random Variables and Their Distributions 4. Continuous Distributions 5. Computer Simulations and Monte Carlo Methods 6. Stochastic Processes
7. Queuing Systems 8. Introduction to Statistics 9. Statistical Inference I 10. Statistical Inference II
11. Regression 12. Appendix