Michael Baron

Probability and Statistics for Computer Scientists (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 473
• Erscheinungstermin: 5. August 2013
• Englisch
• ISBN-13: 9781498760607
• Artikelnr.: 57495633

Autorenporträt

Michael Baron is a professor of statistics at the University of Texas at Dallas. 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